Journal Description
Crops
Crops
is an international, peer-reviewed, open access journal on the science and technology of crops published quarterly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within ESCI (Web of Science) and other databases.
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 24.2 days after submission; acceptance to publication is undertaken in 4.2 days (median values for papers published in this journal in the first half of 2024).
- Recognition of Reviewers: APC discount vouchers, optional signed peer review, and reviewer names published annually in the journal.
- Crops is a companion journal of Agriculture and Agronomy.
Latest Articles
Estimating Sugarcane Maturity Using High Spatial Resolution Remote Sensing Images
Crops 2024, 4(3), 333-347; https://doi.org/10.3390/crops4030024 - 11 Jul 2024
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Sugarcane suffers from the increased frequency and severity of droughts and floods, negatively affecting growing conditions. Climate change has affected cultivation, and the growth dynamics have changed over the years. The identification of the development stages of sugarcane is necessary to reduce its
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Sugarcane suffers from the increased frequency and severity of droughts and floods, negatively affecting growing conditions. Climate change has affected cultivation, and the growth dynamics have changed over the years. The identification of the development stages of sugarcane is necessary to reduce its vulnerability. Traditional methods are inefficient when detecting those changes, especially when estimating sugarcane maturity—a critical step in sugarcane production. Hence, the study aimed to develop a cost- and time-effective method to estimate sugarcane maturity using high spatial-resolution remote sensing data. Images were acquired using a drone. Field samples were collected and measured in the laboratory for brix and pol values. Normalized Difference Water Index, Green Normalized Difference Vegetation Index and green band were chosen (highest correlation with field samples) for further analysis. Random forest (RF), Support Vector Machine (SVM), and multi-linear regression models were used to predict sugarcane maturity using the brix and pol variables. The best performance was obtained from the RF model. Hence, the maturity index of the study area was calculated based on the RF model results. It was found that the field plot has not yet reached maturity for harvesting. The developed cost- and time-effective method allows temporal crop monitoring and optimizes the harvest time.
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Open AccessPerspective
Adoption Pattern of Direct-Seeded Rice Systems in Three South Asian Countries during COVID-19 and Thereafter
by
Simerjeet Kaur, Sharif Ahmed, Tahir Hussain Awan, Hafiz Haider Ali, Rajbir Singh, Gulshan Mahajan and Bhagirath Singh Chauhan
Crops 2024, 4(3), 324-332; https://doi.org/10.3390/crops4030023 - 10 Jul 2024
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COVID-19 has caused a deep economic impact on the lives of small and marginal farmers due to travel restrictions, market closures, and social distancing requirements. Due to COVID-induced labor scarcity and water shortage in India, direct-seeded rice (DSR) has emerged as a viable
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COVID-19 has caused a deep economic impact on the lives of small and marginal farmers due to travel restrictions, market closures, and social distancing requirements. Due to COVID-induced labor scarcity and water shortage in India, direct-seeded rice (DSR) has emerged as a viable alternative to puddled transplanted rice (PTR). However, there was plenty of labor available in Pakistan and Bangladesh for rice cultivation during COVID-19 times. Therefore, both countries did not observe the shift from PTR to DSR. The cost of inputs, such as seed, fertilizer, pesticide, and fuel, was high due to a supply–demand conflict during the COVID-19 pandemic in three countries. Farmers faced weed problems and physical and/or economical non-availability of suitable machinery for DSR cultivation during the COVID-19 pandemic. In the later years of 2022 and 2023 (post-COVID), the area under DSR decreased by 88% in India, while it remained stagnant in Pakistan and Bangladesh.
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Open AccessArticle
Assessing Soil and Land Suitability of an Olive–Maize Agroforestry System Using Machine Learning Algorithms
by
Asif Hayat, Javed Iqbal, Amanda J. Ashworth and Phillip R. Owens
Crops 2024, 4(3), 308-323; https://doi.org/10.3390/crops4030022 - 9 Jul 2024
Abstract
Exponential population increases are threatening food security, particularly in mountainous areas. One potential solution is dual-use intercropped agroforestry systems such as olive (Olea europaea)–maize (Zea mays), which may mitigate risk by providing multiple market sources (oil and grain) for
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Exponential population increases are threatening food security, particularly in mountainous areas. One potential solution is dual-use intercropped agroforestry systems such as olive (Olea europaea)–maize (Zea mays), which may mitigate risk by providing multiple market sources (oil and grain) for smallholder producers. Several studies have conducted integrated agroforestry land suitability analyses; however, few studies have used machine learning (ML) algorithms to evaluate multiple variables (i.e., soil physicochemical properties and climatic and topographic data) for the selection of suitable rainfed sites in mountainous terrain systems. The goal of this study is therefore to identify suitable land classes for an integrated olive–maize agroforestry system based on the Food and Agriculture Organization (FAO) land suitability assessment framework for 1757 km2 in Khyber Pakhtunkhwa province, Pakistan. Information on soil physical and chemical properties was obtained from 701 soil samples, along with climatic and topographic data. After determination of land suitability classes for an integrated olive–maize-crop agroforestry system, the region was then mapped through ML algorithms using random forest (RF) and support vector machine (SVM), as well as using traditional techniques of weighted overlay (WOL). Land suitability classes predicted by ML techniques varied greatly. For example, the S1 area (highly suitable) classified through RF was 9%↑ than that of SVM, and 8%↓ than that through WOL. The area of S2 (moderately suitable) classified through RF was 18%↑ than that of SWM and was 17%↓ than the area classified through WOL; similarly, the S3 (marginally suitable) class area via RF was 27%↓ than that of SVM, and 45%↓ than the area classified through WOL. Conversely, the area of N2 (permanently not suitable class) classified through RF and SVM was 6%↑ than the area classified through WOL. Model performance was assessed through overall accuracy and Kappa Index and indicated that RF performed better than SVM and WOL. Crop suitability limitations of the study area included high elevation, slope, pH, and large gravel content. Results can be used for sustainable intensification in mountainous rainfed regions by expanding intercrop agroforestry systems in developing nations to close yield gaps.
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(This article belongs to the Topic Sustainable Crop Production from Problematic Soils to Ensure Food Security)
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Open AccessReview
Variations and Commonalities of Farming Systems Based on Ecological Principles
by
Anil Shrestha and David Horwitz
Crops 2024, 4(3), 288-307; https://doi.org/10.3390/crops4030021 - 8 Jul 2024
Abstract
In the last few decades, various types of farming systems based on ecological principles have been proposed and developed. There is often interest in knowing about the differences between these systems, but such information must be obtained from several sources describing each of
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In the last few decades, various types of farming systems based on ecological principles have been proposed and developed. There is often interest in knowing about the differences between these systems, but such information must be obtained from several sources describing each of these systems. Therefore, this paper is an effort to consolidate the information on these systems in a concise manner without making comparative ratings between them. We found three components contained in the overarching theme of these systems: the reduction in external inputs, environmental protection, and sustainability. However, several variations exist between them, each with its own focus and guiding principles. Also, these farming systems contain their own specific terms to identify themselves and contain their own set of philosophies based on their founder. In this review, we provided a short description of some of the major ecologically based farming systems such as “agroecology”, “regenerative agriculture”, “holistic management”, “carbon farming”, “organic farming”, “permaculture”, “biodynamic farming”, “conservation agriculture”, and “regenerative organic farming”. We summarized these farming systems as “variants of farming systems based on ecological principles” and outlined the similarities and differences between them. We also discussed how the themes of these systems relate to the United Nations’ thirteen principles of agroecology. Although these systems share several similarities, their philosophy is rooted in their founders and the communities that choose to adopt these philosophies. Last, we discussed some of the challenges in implementing these ecological agriculture systems.
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(This article belongs to the Special Issue Ensuring Food Security in a Changing World)
Open AccessArticle
Genotypic Variability in Response to Heat Stress and Post-Stress Compensatory Growth in Mungbean Plants (Vigna radiata [L.] Wilczek)
by
Vijaya Singh and Marisa Collins
Crops 2024, 4(3), 270-287; https://doi.org/10.3390/crops4030020 - 4 Jul 2024
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Understanding genotypic variability in tolerance to heat stress during flowering, a critical growth stage, and post-stress recovery remains limited in mungbean (Vigna radiata) genotypes. This study investigates the genetic variability in in vitro pollen viability, seed set, and grain yield among
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Understanding genotypic variability in tolerance to heat stress during flowering, a critical growth stage, and post-stress recovery remains limited in mungbean (Vigna radiata) genotypes. This study investigates the genetic variability in in vitro pollen viability, seed set, and grain yield among mungbean genotypes in response to transient high temperatures. Thirteen genotypes were evaluated in a glasshouse study, and four in a field study, subjected to high temperatures (around 40 °C/22 °C day/night) imposed midday during flowering. Across all genotypes, the pollen viability percentage significantly decreased from 70% to 30%, accompanied by reductions in the pod size and seed number per pod, and increases in unfertilized pods and unviable seeds. However, the seed yield per plant significantly increased for four genotypes (M12036, Celera-II AU, Crystal, and M11238/AGG325961), attributed to elevated shoot growth and pod numbers under high-temperature treatment in the glasshouse study. Conversely, Satin II, which exhibited the highest stress tolerance index, recorded a greater seed yield under optimum conditions compared to high temperatures. Similar genotypic variability in post-heat-stress recovery and rapid growth was observed in the field study. Under non-limiting water conditions, mungbean genotypes with a relatively more indeterminate growth habit mitigated the heat stress’s impact on their pollen viability by swiftly increasing their post-stress vegetative and reproductive growth. The physiological mechanisms underlying post-stress rapid growth in these genotypes warrant further investigation and consideration in future breeding trials and mitigation strategies.
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Open AccessArticle
Productive and Qualitative Traits of Sorghum Genotypes Used for Silage under Tropical Conditions
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Risalvo F. Oliveira, Alexandre F. Perazzo, Douglas dos S. Pina, Henry D. R. Alba, Vagner M. Leite, Manoel M. dos Santos, Edson M. Santos, Luiz E. C. de A. Sobrinho, Ricardo L. S. Pinheiro, Elielson L. Aquino and Gleidson G. P. de Carvalho
Crops 2024, 4(2), 256-269; https://doi.org/10.3390/crops4020019 - 18 Jun 2024
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The aim of this study was to evaluate the productive potential, chemical composition, and fermentation profile of 24 genotypes of forage sorghum after ensiling. For this agronomic evaluation, a completely randomized block design with six replicates and twenty-four treatments was employed. Genotype 5
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The aim of this study was to evaluate the productive potential, chemical composition, and fermentation profile of 24 genotypes of forage sorghum after ensiling. For this agronomic evaluation, a completely randomized block design with six replicates and twenty-four treatments was employed. Genotype 5 had the highest dry matter (DM) yield of 22.24 t/ha. The plant DM content ranged (p < 0.001) from 271.8 g/kg of fresh matter (FM) in genotype 9 to 330.0 g/kg FM in genotype 3, averaging 302.9 g/kg FM. The crude protein and non-fibrous carbohydrates differed significantly (p < 0.001) in the evaluated silages, with mean values of 61.0 and 275.3 g/kg DM, respectively. The pH of the sorghum silages also differed (p < 0.001), despite having an average of 3.94, with values ranging from 3.68 to 4.27. No changes were observed (p > 0.05) for the dry matter recovery of the sorghum genotype silages, which averaged at 853.9 g/kg FM. In the present study, genotype 5 resulted in being the most recommended genotype because it demonstrated a higher yield and higher nutritional value in both its fresh form and its ensiled form; had the lowest losses; and showed an ideal dry matter recovery after ensiling of 880 g/kg.
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Open AccessArticle
Evaluating the Yield of Three Legume Crop Varieties under Hawaii’s Micro-Climates
by
Amjad A. Ahmad, Theodore J. K. Radovich, Jari Sugano, Koon-Hui Wang, Hue V. Nguyen, Jensen Uyeda, Sharon Wages, Kylie Tavares, Emilie Kirk and Michael Kantar
Crops 2024, 4(2), 242-255; https://doi.org/10.3390/crops4020018 - 12 Jun 2024
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Hawaii is known for its diverse micro-climates, making the evaluation of varieties at different locations an important strategy to determine the best varieties for each climate zone. Demand for dry beans in Hawaii has been rising due to the increase in production of
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Hawaii is known for its diverse micro-climates, making the evaluation of varieties at different locations an important strategy to determine the best varieties for each climate zone. Demand for dry beans in Hawaii has been rising due to the increase in production of value-added goods made from legumes. Initial field trials in 2017 were conducted to determine the best sowing date for dry beans in Hawaii since there were no previous such determinations. Field trials were conducted between 2018 and 2021 to evaluate 24 varieties of chickpea (Cicer arietinum), 21 varieties of common bean (Phaseolus vulgaris), and 10 varieties of cowpea (Vigna unguiculata) for their suitability and yield variability under Hawaii’s micro-climates. Preliminary sowing date trials were conducted in 2017, and a variety of trials were conducted between 2018 and 2021; seven field trials were conducted, including two in each of Oahu, Maui, and Hawaii County, and one in Kauai County. The trials were conducted in a randomized complete block design (RCBD) with three replicates. For all the study sites, 20-20-20 NPK fertilizer was applied at 30, 13, and 25 kg/ha N-P-K, respectively. A drip irrigation system was used in all locations as supplemental irrigation. Irrigation was used when needed and turned off 2 weeks prior to harvest. The results showed highly significant (p < 0.01) differences in yield between the varieties of each legume crop. Highly significant (p < 0.01) differences in yield were also found between the study locations. There was a significant (p < 0.05) decline in yield by 28% and 45% in chickpea and by 32% and 43% in common bean when planted 1 and 2 months, respectively, after the optimal mid-February planting on Oahu and Maui County. A decline of 21% and 50% in chickpea and 30 and 48% in common bean was recorded when planted 1 and 2 months, respectively, after the optimal mid-March planting in Hawaii County. The study results lead to developing site-specific recommendations for varieties and planting dates from each of the legume crops for each county. However, more studies are needed to develop site-specific recommendations for the micro-climates within each county.
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Open AccessArticle
Assessing the Impact of King Coconut Husk Ash and Biochar, Combined with Chemical Fertilizer Application, on Enhancing Soil Fertility in Coconut Plantations
by
Selvaraja Kaushalya Shamila, Shashi S. Udumann, Nuwandhya S. Dissanayaka, Kowshalya Rajaratnam and Anjana J. Atapattu
Crops 2024, 4(2), 227-241; https://doi.org/10.3390/crops4020017 - 11 Jun 2024
Abstract
Sustainable soil fertility management is crucial for enhancing productivity in coconut plantations. This study investigated the synergistic effects of king coconut husk (KCH) ash, biochar, and chemical fertilizers on soil properties in a coconut plantation over a short period (4 months). Six treatments
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Sustainable soil fertility management is crucial for enhancing productivity in coconut plantations. This study investigated the synergistic effects of king coconut husk (KCH) ash, biochar, and chemical fertilizers on soil properties in a coconut plantation over a short period (4 months). Six treatments were applied: control, chemical fertilizers alone (F), fertilizers with ash (FA), fertilizers with biochar (FB), fertilizers with both ash and biochar (FAB), and fertilizers with half ash and biochar (FA1/2B). Strongly alkaline KCH ash contained significantly higher total and available potassium content levels than mildly alkaline biochar. Data indicated that KCH ash significantly enhanced soil available potassium, electrical conductivity, and organic carbon content compared to the control and F treatments over a short-term period. Even though biochar application demonstrated initial improvements in soil moisture content, a longer study duration may be required to evaluate its influence on other soil parameters comprehensively. Highlighting the synergistic benefits of KCH ash and biochar, FA1/2B treatment exhibited the highest combined index score based on physical, biological, and chemical soil indicators, suggesting its potential for optimizing agricultural outcomes. It emerged as the most promising approach, underscoring the value of exploring sustainable soil amendments derived from agricultural waste streams to promote soil fertility and sustainable coconut production.
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(This article belongs to the Topic Emerging Agricultural Engineering Sciences, Technologies, and Applications—2nd Edition)
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Open AccessArticle
Azospirillum brasilense Inoculation in a Maize–Urochloa–Rice Cropping System Promotes Soil Chemical and Biological Changes and Increases Productivity
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Philippe Solano Toledo Silva, Nayara Siviero Garcia, Fernando Shintate Galindo, Orivaldo Arf, Thiago Assis Rodrigues Nogueira, Arun Dilipkumar Jani and Ana Maria Rodrigues Cassiolato
Crops 2024, 4(2), 211-226; https://doi.org/10.3390/crops4020016 - 4 Jun 2024
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Large quantities of cover crop residues in the soil, combined, or not, with the inoculation of seeds with diazotrophic bacteria, can increase organic matter (OM) and protect soil microorganisms, such as arbuscular mycorrhizal fungi (AMF) and dark septate endophytic (DSE) fungi. Thus, the
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Large quantities of cover crop residues in the soil, combined, or not, with the inoculation of seeds with diazotrophic bacteria, can increase organic matter (OM) and protect soil microorganisms, such as arbuscular mycorrhizal fungi (AMF) and dark septate endophytic (DSE) fungi. Thus, the use of these sustainable biotechnologies can benefit microbial interactions, soil fertility and rice production in the Brazilian Cerrado region. In this study, we evaluated the effects of maize and Urochloa ruziziensis, intercropped or individually, as cover crops and an inoculation of Azospirillum brasilense on the chemical (fertility) and biological (C–microbial biomass and C–CO2 released) attributes of soil and the effects of root colonization by AMF and DSE on the yield of rice grown in succession in highlands. The experiment was conducted under field conditions, in a typical dystrophic Red Oxisol. The experimental design consisted of randomized blocks arranged in strips, incorporating a combination of eight residual cover crops: ((1) maize, (2) maize–I (I = inoculation of seeds with A. brasilense), (3) Urochloa (U. ruziziensis), (4) Urochloa–I, (5) maize + Urochloa–I, (6) maize + Urochloa–I, (7) maize–I + Urochloa and (8) maize–I + Urochloa–I). This was accompanied by two treatments of rice as a successor crop (inoculated or not with A. brasilense), with four replicates, totaling 64 experimental units. A cover crop and rice seed inoculation prompted increases in OM and AMF relative to DSE, while the inoculation of rice, regardless of the cover crop treatment, increased the soil’s P content. The combination of maize + Urochloa–I and inoculated rice as the next crop generated increases in its sum of bases (SBs) and cation exchange capacity (CEC). There was a 19% increase in rice grain yields when the seed was inoculated.
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Open AccessArticle
Multi-Locational Evaluation of Forage-Suited Selected Sudan Pearl Millet [Pennisetum glaucum (L.) R. Br.] Accessions Identified High-Yielding and Stable Genotypes in Irrigated, Arid Environments
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Sara A. E. Babiker, Mohammed A. M. Khair, Abdelraheem A. Ali, Mohamoud A. M. Abdallah, Asim M. E. Hagelhassan, Eltahir I. Mohamed, Nasrein M. Kamal, Hisashi Tsujimoto and Izzat S. A. Tahir
Crops 2024, 4(2), 195-210; https://doi.org/10.3390/crops4020015 - 24 May 2024
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Pearl millet [Pennisetum glaucum (L.) R. Br.] is a subtropical grain and forage crop. It is privileged with several desirable forage attributes. Nevertheless, research on pearl millet is limited, especially as a forage crop, in developing countries. Therefore, the objectives of this
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Pearl millet [Pennisetum glaucum (L.) R. Br.] is a subtropical grain and forage crop. It is privileged with several desirable forage attributes. Nevertheless, research on pearl millet is limited, especially as a forage crop, in developing countries. Therefore, the objectives of this study were to investigate the field performance and stability of pearl millet genotypes for forage yield across seven environments. The study was conducted in seven environments (combination of locations and seasons) during the 2016/2017–2018/2019 seasons. Twenty-five pearl millet genotypes, selected based on forage yield from a core collection of 200 accessions, were arranged in an alpha lattice design with three replications. The parameters measured were fresh forage yield, days to flowering, plant height, number of culms m−2, leaf-to-stem ratio, and stem girth. The combined analysis revealed that environments, genotypes, and their interaction had significant effects on all traits studied except the genotypic effect on stem girth. Across the seven environments, four genotypes (G14, G01, G12, and G22) outyielded the check genotype in fresh matter yield by 20.7, 16.5, 11.0 and 9.8%, respectively. The additive main effects and multiplicative interaction (AMMI) analysis showed that the genotype, environment, and their interaction were highly significant (p ≤ 0.001) for fresh matter yield. The results of AMMI stability values (ASVs) and the genotype selection index (GSI) combined with the AMMI estimate-based selection showed that genotypes G14, G22 and G01 were the most stable and adapted genotypes and were superior to the check genotype. These results indicate that forage pearl millet varieties could be developed directly through evaluating the wealth of available collections or indirectly through hybridization in crop breeding programs.
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Open AccessArticle
Investigating Genetic Diversity and Population Structure in Rice Breeding from Association Mapping of 116 Accessions Using 64 Polymorphic SSR Markers
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Alok Kumar Singh, Devendra Kumar, Donato Gemmati, Ranjith Kumar Ellur, Ashutosh Singh, Veronica Tisato, Devendra Kumar Dwivedi, Sanjay Kumar Singh, Kishor Kumar, Nawaz Ahmad Khan and Ajay Vikram Singh
Crops 2024, 4(2), 180-194; https://doi.org/10.3390/crops4020014 - 23 May 2024
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Genetic variability in rice breeding programs plays a very crucial role. It provides an outstanding pool of superior alleles governing better agronomic and quality characters through association mapping. For a greater understanding of population structure, the genetic relationship among different rice lines is
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Genetic variability in rice breeding programs plays a very crucial role. It provides an outstanding pool of superior alleles governing better agronomic and quality characters through association mapping. For a greater understanding of population structure, the genetic relationship among different rice lines is indispensable prior to the setting of a correlation among dynamic alleles and traits. In the present investigation, the genetic diversity and population structure of 116 rice accessions were studied to understand genetic relatedness and diversity among them using 64 polymorphic SSR markers. A genotyping assessment based on SSR markers revealed a total of 225 alleles, with an average PIC value of 0.755. The germplasm lines were classified into three distinct subgroups through population structure analysis, utilizing both model- and distance-based approaches. AMOVA analysis showed that 11% of the total variation could be attributed to differences between groups, while the remaining 89% was likely due to differences within groups. This study suggested that population structure and genetic relatedness should be considered to establish marker–trait associations for association mapping when working with the core collection of germplasm lines.
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Open AccessCommunication
Evaluation of the Plant Growth Regulator SPGP4 in Agricultural Crops: A Case Study in Oaxaca, México
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Guiee N. López-Castillo, Arnoldo Wong-Villareal, Judith Castellanos-Moguel, Gilberto Vela Correa, Sandra L. Cabrera-Hilerio, Mariana Miranda-Arámbula, Alan Carrasco-Carballo and Jesús Sandoval-Ramírez
Crops 2024, 4(2), 172-179; https://doi.org/10.3390/crops4020013 - 7 May 2024
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The search for new plant growth regulators is a cornerstone of agricultural research; however, laboratory studies rarely go on to be evaluated in the field. This is because greater production is required, as well as longer studies. Particularly, brassinosteroids present these difficulties, and
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The search for new plant growth regulators is a cornerstone of agricultural research; however, laboratory studies rarely go on to be evaluated in the field. This is because greater production is required, as well as longer studies. Particularly, brassinosteroids present these difficulties, and although they have been evaluated in crops with good results, their high production cost gives rise to the search for new alternatives. 22-Oxocholestanes such as SPGP4, previously used in silico and in vitro studies, have shown great potential, so their evaluation in crops grown from native seeds from the study region becomes of interest. Based on these data, SPGP4 was evaluated under crop conditions in three agricultural plots located on the Isthmus of Tehuantepec region, Oaxaca, México. The seeds were treated with a 0.5 mg/L aqueous solution of the 22-Oxocholestane compound SPGP4 by imbibition one night before sown. Later, 45 days after sowing, a solution of 0.5 mg/L at a rate of 200 L per hectare was applied. At the production level, the bean harvest showed an increase in the range of 21.0–38.1%, and the corn harvest increased between 22 and 32%. In addition, the latter also demonstrated an increase in biomass production, given the increase in diameter and height observed in the corn plant. This indicates that SPGP4 functions as a regulator of plant growth at the crop level to increase both seed and biomass production.
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Open AccessArticle
A Genome-Wide Association Study of Seed Morphology-Related Traits in Sorghum Mini-Core and Senegalese Lines
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Ezekiel Ahn, Sunchung Park, Zhenbin Hu, Vishnutej Ellur, Minhyeok Cha, Yoonjung Lee, Louis K. Prom and Clint Magill
Crops 2024, 4(2), 156-171; https://doi.org/10.3390/crops4020012 - 11 Apr 2024
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Sorghum (Sorghum bicolor L.) ranks fifth as the most crucial cereal crop globally, yet its seed morphology remains relatively unexplored. This study investigated seed morphology in sorghum based on 115 mini-core and 130 Senegalese germplasms. Eight seed morphology traits encompassing size, shape,
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Sorghum (Sorghum bicolor L.) ranks fifth as the most crucial cereal crop globally, yet its seed morphology remains relatively unexplored. This study investigated seed morphology in sorghum based on 115 mini-core and 130 Senegalese germplasms. Eight seed morphology traits encompassing size, shape, and color parameters were assessed. Statistical analyses explored potential associations between these traits and resistance to three major sorghum diseases: anthracnose, head smut, and downy mildew. Furthermore, genome-wide association studies (GWAS) were conducted using phenotypic data from over 24,000 seeds and over 290,000 publicly available single nucleotide polymorphisms (SNPs) through the Genome Association and Prediction Integrated Tool (GAPIT) R package. Significant SNPs associated with various seed morphology traits were identified and mapped onto the reference sorghum genome to identify novel candidate defense genes.
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Open AccessArticle
Hemp Seed Yield Responses to Nitrogen Fertility Rates
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Swarup Podder, Sanaz Shafian, Wade E. Thomason, T. Bain Wilson and John H. Fike
Crops 2024, 4(2), 145-155; https://doi.org/10.3390/crops4020011 - 11 Apr 2024
Cited by 1
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Industrial hemp (Cannabis sativa L.) holds promise as a crop for more sustainable supply chains given its potential as a source of high-strength fibers, adsorbents, and nutrient-dense feedstuffs. Developing nutrient management guidelines for hemp will be an important part of optimizing the
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Industrial hemp (Cannabis sativa L.) holds promise as a crop for more sustainable supply chains given its potential as a source of high-strength fibers, adsorbents, and nutrient-dense feedstuffs. Developing nutrient management guidelines for hemp will be an important part of optimizing the crop’s sustainability attributes. This study measured hemp seed yield in response to N fertilization rate (0, 60, 120, 180, and 240 kg N ha−1). Treatments were tested with four hemp cultivars (‘Joey’ and ‘Grandi’ in 2020, 2021, and 2022 and ‘NWG 2463’ and ‘NWG 4113’ in 2023) in Virginia. Nitrogen input influenced (p ≤ 0.0177) seed yield in all four experimental years, although the pattern of response varied substantially. In 2020, following delayed seeding, hemp showed a weak quadratic (p = 0.0113) response to N inputs, with peak yield (1640 kg ha−1) occurring with 120 kg N ha−1. In 2021, hemp displayed a strong linear (p < 0.0001) response to N inputs, with the highest seed yield (2510 kg ha−1) at 240 kg N ha−1. In 2022, a season characterized by low precipitation and high weed pressure, a weak, linear (p = 0.0111) response to the N rate was observed. The greatest seed yield (380 kg ha−1) was again observed with 240 kg N ha−1. In 2023, weed pressure remained an issue, but the response to N was strong and linear (p < 0.0001), with the greatest seed yield (831 kg ha−1) again measured at 240 kg N ha−1. These findings indicate hemp can be quite responsive to N inputs but that the magnitude of response is sensitive to other factors such as available soil moisture, weed pressure, and growing period.
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Open AccessArticle
Development of Algorithm for Determining N Fertiliser Requirements of Winter Wheat Based on N Status Using APSIM Modelling
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Iris Vogeler, Uttam Kumar, Leif Knudsen, Elly M. Hansen, Val Snow and Ingrid K. Thomsen
Crops 2024, 4(2), 134-144; https://doi.org/10.3390/crops4020010 - 3 Apr 2024
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The determination of optimum nitrogen (N) fertilisation rates, which maximise yields and minimise N losses, remains problematic due to unknown upcoming crop requirements and near-future supply by the soil. Remote sensing can be used for determining the crop N status and to assess
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The determination of optimum nitrogen (N) fertilisation rates, which maximise yields and minimise N losses, remains problematic due to unknown upcoming crop requirements and near-future supply by the soil. Remote sensing can be used for determining the crop N status and to assess the spatial variability within a field or between fields. This can be used to improve N fertilisation, provided that the optimal fertilisation rate at the time of fertiliser application for an expected yield is known. Using the APSIM-wheat model, we developed an algorithm that relates the N status of the plants at early development stages to the yield response to N. Simulations were performed for winter wheat under growth conditions in Denmark. To obtain a range of different N status in the biomass at early growth stages, the soil N in autumn was varied from 20 to 180 kg N ha−1, and at BBCH23, fertiliser was applied at a rate of 50 kg N ha−1. In a full factorial setup, additional N fertiliser was applied ranging from 0 to 150 kg N ha−1 during three different development stages (BBCH30, 32, and 37). The algorithm was evaluated by comparing model outputs with a standard N application of 50 kg N ha−1 at BBCH23 and 150 kg N ha−1 at BBCH30. The evaluation showed that, depending on the N status of the soil, the algorithm either provided higher or lower optimal N fertilisation rates when targeting 95% of the maximum yield, and these affected the grain yield and the grain N, as well as the amount of N leaching. Split application of fertiliser into three applications was generally beneficial, with decreased product-related N leaching of up to nearly 30%. Further testing of the model under different environmental conditions is needed before such an algorithm can be used to guide N fertilisation.
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Open AccessArticle
Analyzing Winter Wheat (Triticum aestivum) Growth Pattern Using High Spatial Resolution Images: A Case Study at Lakehead University Agriculture Research Station, Thunder Bay, Canada
by
María V. Brenes Fuentes, Muditha K. Heenkenda, Tarlok S. Sahota and Laura Segura Serrano
Crops 2024, 4(2), 115-133; https://doi.org/10.3390/crops4020009 - 28 Mar 2024
Abstract
Remote sensing technology currently facilitates the monitoring of crop development, enabling detailed analysis and monitoring throughout the crop’s growing stages. This research analyzed the winter wheat growth dynamics of experimental plots at the Lakehead University Agricultural Research Station, Thunder Bay, Canada using high
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Remote sensing technology currently facilitates the monitoring of crop development, enabling detailed analysis and monitoring throughout the crop’s growing stages. This research analyzed the winter wheat growth dynamics of experimental plots at the Lakehead University Agricultural Research Station, Thunder Bay, Canada using high spatial and temporal resolution remote sensing images. The spectral signatures for five growing stages were prepared. NIR reflectance increased during the growing stages and decreased at the senescence, indicating healthy vegetation. The space–time cube provided valuable insight into how canopy height changed over time. The effect of nitrogen treatments on wheat did not directly influence the plant count (spring/autumn), and height and volume at maturity. However, the green and dry weights were different at several treatments. Winter wheat yield was predicted using the XGBoost algorithm, and moderate results were obtained. The study explored different techniques for analyzing winter wheat growth dynamics and identified their usefulness in smart agriculture.
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(This article belongs to the Special Issue Fertigation and Nutrient Management in Crops)
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Open AccessReview
The Potential of Cold Plasma-Based Seed Treatments in Legume–Rhizobia Symbiotic Nitrogen Fixation: A Review
by
Dhanuja N. Abeysingha, Harleen K. Dhaliwal, Lihui Du, Chathuranga De Silva, Krzysztof Szczyglowski, M. S. Roopesh and Malinda S. Thilakarathna
Crops 2024, 4(1), 95-114; https://doi.org/10.3390/crops4010008 - 11 Mar 2024
Cited by 1
Abstract
The use of cold plasma (CP) seed treatment is an emerging agricultural technology that exhibits the potential to enhance nodulation and symbiotic nitrogen fixation (SNF) in legumes. CP is composed of a diverse mixture of excited atoms, molecules, ions, and radicals that have
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The use of cold plasma (CP) seed treatment is an emerging agricultural technology that exhibits the potential to enhance nodulation and symbiotic nitrogen fixation (SNF) in legumes. CP is composed of a diverse mixture of excited atoms, molecules, ions, and radicals that have the potential to affect the physical properties of the seed and influence gene expressions that could have a lasting impact on the nodulation, SNF, growth, and yield of legumes. The direct participation of the CP in the nodulation process and its correlation with the escalation of nodules and SNF is still not fully understood. This review discussed four areas in the nodulation and SNF process that can directly or indirectly affect CP seed treatments: root–rhizobia signal exchange pathways, root/shoot growth and development, phytohormone production, and the nitrogen fixation process. We also discuss the potential challenges and future research requirements associated with plasma technology to enhance SNF in legumes.
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(This article belongs to the Topic Emerging Agricultural Engineering Sciences, Technologies, and Applications—2nd Edition)
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Open AccessArticle
Optimizing Soybean Crop Performance through the Integrated Application of Organic and Chemical Fertilizers: A Study on Alkaline Soil in Afghanistan
by
Abdul Basir Turabi, Safiullah Habibi, Kifayatullah Kakar, Shafiqullah Aryan, Mohammad Daud Haidari and Sabqatullah Alipour
Crops 2024, 4(1), 82-94; https://doi.org/10.3390/crops4010007 - 7 Mar 2024
Cited by 1
Abstract
The excess application of chemical fertilizer contributes to environmental pollution. Therefore, this study aims to explore the integrated use of animal manure and chemical fertilizer to identify a more sustainable and environmentally friendly alternative to nitrogen fertilizer. Two experiments were conducted in 2018
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The excess application of chemical fertilizer contributes to environmental pollution. Therefore, this study aims to explore the integrated use of animal manure and chemical fertilizer to identify a more sustainable and environmentally friendly alternative to nitrogen fertilizer. Two experiments were conducted in 2018 and 2019 at Kabul University, Afghanistan, using an LD04-13265 soybean variety. The integration of animal manure and chemical fertilizer was categorized into six treatments: (1) control (no fertilizer), (2) animal manure low dose (AMLD), (3) animal manure high dose (AMHD), (4) chemical fertilizer (CF), (5) CF 50% + AMLD, and (6) CF 75% + AMLD. The results revealed that AMHD and its integration with 75% chemical fertilizer greatly influenced the vegetative growth of soybean plants in experiments I and II. The number of pods per plant and pod length significantly (p < 0.05) increased under the CF 75% + AMLD treatment. In experiment I, soybean yield increased the most with the CF treatment, followed by CF 75% + AMLD. In contrast, in experiment II, the highest yield per hectare was observed in the CF 75% + AMLD treatment, followed by CF. The CF 75% + AMLD treatment significantly increased the SPAD value in both experiments. Consequently, a strong relationship was observed between the SPAD value and yield (r = 0.74) in experiment I and between SPAD and pod length (r = 0.82) in experiment II. Incorporating animal manure with chemical fertilizer significantly impacted soybean growth and yield, offering a potential possibility for reducing reliance on nitrogen fertilizer application to mitigate environmental pollution.
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(This article belongs to the Topic Plants Nutrients, 2nd Volume)
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Comparison of the Nutritional Composition of Quinoa (Chenopodium quinoa Willd.) Inflorescences, Green Leaves, and Grains
by
Safiullah Pathan, Grato Ndunguru and Addissu G. Ayele
Crops 2024, 4(1), 72-81; https://doi.org/10.3390/crops4010006 - 29 Feb 2024
Abstract
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The nutritional composition of different parts of quinoa (Chenopodium quinoa Willd.), such as sprouts, green leaves, and grains, have previously been studied in detail. This study aimed to compare the nutritional values of quinoa inflorescences against those of quinoa leaves and grains.
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The nutritional composition of different parts of quinoa (Chenopodium quinoa Willd.), such as sprouts, green leaves, and grains, have previously been studied in detail. This study aimed to compare the nutritional values of quinoa inflorescences against those of quinoa leaves and grains. The assessment of nutritional composition includes crude protein, crude fat, fiber, ash, carbohydrates, essential amino acids, and minerals. The proximate analysis showed that on a dry weight (DW) basis, quinoa inflorescences contain higher amounts of protein, fiber, all essential amino acids, and minerals when compared to quinoa grains. However, quinoa green leaves have higher protein and fat contents than quinoa inflorescences, while retaining all essential amino acids and minerals. Inflorescences possess a higher fiber content and a lower fat content than green leaves and grains do. In this study, nutritional assessments of inflorescences typically ranked in the middle when compared to those of green leaves and grains. These findings emphasize the nutritional potential of quinoa inflorescences as prospective ingredients to develop healthy foods and supplements that provide health benefits beyond basic nutritional functions. Nevertheless, additional research is essential to confirm and substantiate these results.
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Open AccessArticle
Comparative Growth of Elephant Ear Taro (Alocasia macrorrhiza) and Giant Swamp Taro (Cyrtosperma merkusii) in Hawai‘i
by
Thathmini D. Kularatna, Norman Q. Arancon and Jesse A. Eiben
Crops 2024, 4(1), 55-71; https://doi.org/10.3390/crops4010005 - 18 Feb 2024
Abstract
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Alocasia macrorrhiza and Cyrtosperma merkusii are root crops in the family Araceae that have the potential to be grown as fodder plants in Hawai‘i. This research focused on growing C. merkusii and two varieties (Laufola and Faitama) of A. macrorrhiza to evaluate their
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Alocasia macrorrhiza and Cyrtosperma merkusii are root crops in the family Araceae that have the potential to be grown as fodder plants in Hawai‘i. This research focused on growing C. merkusii and two varieties (Laufola and Faitama) of A. macrorrhiza to evaluate their growth and yield. A randomized complete block design was used to set up two growth trials in 2018 and 2019. Varieties were grown in pots in the first trial and directly on the ground in the second trial. Plant growth was measured weekly by the plant height and leaf area of the main plants. The weights of the leaf blades, petioles, and stems were taken as the yield. Lateral plants and their weights were also measured. The yield data at harvest were statistically analyzed with a one-way ANOVA in PROC GLM, and means were separated using a Post-hoc test, Least Significant Difference, at 5%. The influence of plant height, leaf area, number of leaves produced by main plants, number of lateral plants, and their total weight on yield were analyzed by Pearson’s correlation coefficient. The growth and yield of plants in the second trial were generally superior to those in the first trial, in which the Laufola variety had the highest growth increase in height and leaf area, followed by Faitama. Those varieties of A. macrorrhiza also had the highest yields. The Laufola variety had the greatest average yield, in kg/ha estimates of the stem (54,896 kg/ha), petiole (99,647 kg/ha), and leaf blades (25,563 kg/ha). Plant height, leaf area, and the number of leaves produced by the main plants had a strong positive influence on the yields. Laufola and Faitama varieties have better potential to be grown in Hilo, Hawai‘i.
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