Search Results (259)

Upland cotton (Gossypium hirsutum, AD1) is the most important fiber crop for the world’s textile industry. The genetic base of Upland cotton is narrow, and the introgression of germplasm from other species into Upland cotton can broaden its genetic diversity, including the introduction of new qualitative traits. The objectives of this study were to determine the inheritance, allelism, and linkage relationships of the red anther trait introduced into Upland from the red anther donor G. armourianum (D2-1) through crosses involving a synthetic tetraploid A1D2-1. After two generations of backcrossing to Upland cotton, followed by inbreeding, homozygous red-anthered plants (RA) were selected and used for crosses with two Upland lines, the Upland standard TM-1, the multiple recessive marker line T582, and the multiple dominant marker line T586. All Upland cotton parents, except the RA parents and T586 (possessing yellow anthers), had cream anthers. The anther color of the F₁ plants was red, indicating that the red anther trait is dominant. In nine of ten F₂ populations and four of five testcross populations, the segregation of anther color followed a 3:1 and 1:1 ratio, respectively, as expected under a one-gene model. In three F₂ populations with a total of 885 plants between RA with green leaf and T586 with red leaf (R₁ on chromosome D07), no double recessive genotype (yellow/cream anther and green leaf) was observed, indicating the allelic relationship between R₁ and red anther allele, designated R₁^a. The recombination frequency between R₁^a and cluster-1 (cl₁) on D07 was estimated to be 0.112 in 256 F₂ plants of a cross between RA and T582 based on the maximum likelihood estimation. This new red anther trait and its associated new gene allele provide an important genetic source for understanding the biosynthesis of anthocyanins and may have utility for improving resistance to anther-feeding insects in cotton. Full article

Rice is a globally important staple crop and a major dietary source of inorganic arsenic (As). Compared with upland crops, flooded rice cultivation profoundly alters soil redox conditions, making paddy soils one of the most active agricultural interfaces for As mobilization, transformation, and food-chain transfer. While previous research has primarily focused on total As and inorganic As [As(III)/As(V)], methylated and thiolated As species also carry critical agronomic and health implications. Dimethylarsinic acid (DMA) can accumulate in grain and induce straighthead disease, whereas dimethylmonothioarsenate (DMMTA) shows substantially higher toxicity and uptake potential; DMMTA root uptake can be approximately 10 times higher than DMA, and its straighthead-inducing potency can exceed DMA by more than fivefold. This review synthesizes the sources, biogeochemical transformations, plant uptake, grain accumulation, safety assessment, and management implications of As along the paddy soil–rice–grain continuum. Particular emphasis is placed on how water regimes, redox potential, Fe/Mn/Al oxides, sulfur cycling, dissolved organic matter (DOM), microbial functional genes, and crop genotypes regulate diverse As species. Quantitative evidence indicates that alternate wetting and drying (AWD) can reduce grain total As and inorganic As by medians of 32% and 22%, respectively, but may increase grain cadmium (Cd) by a median of 58%; meanwhile, DMA and DMMTA can account for approximately 10–90% and 1–21% of total grain As, respectively, emphasizing that grain-As risk cannot be evaluated using inorganic As alone. Future research should establish speciation-based monitoring systems for inorganic, methylated, and thiolated As; develop process models linking water regime, Fe/S cycling, microbial transformations, and plant transport; and translate these mechanisms into field decision tools that balance As–Cd risk reduction, crop yield, and rice safety under changing environmental conditions. Full article

Rice intensification influences soil biodiversity and ecological functioning in paddy ecosystems; however, its effects on soil nematode communities across different rice production systems remain poorly understood in the Vietnamese Mekong Delta (MD). This study evaluated the effects of rice cropping practices in the MD on nematode community composition, trophic structure, functional guilds, diversity, plant-parasitic nematodes (PPN), and soil chemical properties. A total of 91 soil samples were collected from double-rice intensive (RR), triple-rice intensive (RRR), and rice–upland–rice rotational (RUR) systems. Thirty nematode genera were identified, with a total abundance showing high variability, but no significant differences among cropping systems. Community composition differed considerably among systems, with Chronogaster dominating across all systems, particularly under RRR, whereas RUR supported more dominant genera with higher abundances of Tyleptus, Mesodorylaimus, Cephalobus, and Calolaimus. RUR exhibited significantly greater genus richness, and higher abundances of fungivores, omnivores, and higher colonizer–persister groups (cp4–cp5), indicating greater soil food-web complexity and ecological stability. In contrast, RRR was characterized by bacterivore-dominated communities, and increased abundance of cp3 nematodes, suggesting simplified community structures associated with agricultural intensification. Plant-parasitic nematodes remained relatively stable across management systems, despite taxon-specific responses. Soil pH, organic matter, and nitrogen availability were strongly associated with nematode community variation. Therefore, crop diversification through rotational practices enhanced belowground biodiversity, and promoted more sustainable soil ecological functioning in intensive rice production systems. Full article

Upland cotton is an important fiber and oilseed crop. Cottonseed size, measured by seed index, is an important seed quality trait that affects seed germination, seedling vigor, fiber yield, and cottonseed nutrient content. However, genetic variation in cottonseed size is highly limited within upland cotton, limiting the genetic gain in cottonseed size. Introgression breeding can alleviate this bottleneck effect by introducing desirable genes from pima to upland cotton. This study was conducted to analyze the seed size from both fuzzy and acid-delinted seeds and to assess the appropriate cottonseed size. In 2022, a population of 1600 cotton introgression lines (ILs) was grown at Leyendecker Plant Science Center, NMSU, while three field tests were conducted in 2023, including NM with all the ILs and MS and TX each with 1000 ILs. The analysis of variance of seed size showed that genotypic and environmental variation were found in both types of seeds. The acid-delinted and fuzzy cottonseeds had a mean seed index of 9.58 g and 11.26 g, while the broad sense heritability was 0.56 and 0.32, respectively. Furthermore, the seed index was not significantly correlated with cottonseed oil and different fatty acids. Full article

Background: Upland cotton (Gossypium hirsutum) is a major natural fiber crop and an important model for studying genome evolution and gene function in polyploid plants. However, its large and highly redundant genome presents substantial challenges for efficient and coordinated multiplex genome editing. Methods: Here, we developed a high-efficiency CRISPR/Cas12a-based multiplex genome editing system in cotton by integrating a tRNA–crRNA polycistronic expression strategy with a Bean yellow dwarf virus (BeYDV)-derived replicon. Results: This platform enabled coordinated expression of multiple crRNAs and simultaneous targeting of 16 loci within a centromere-proximal region of chromosome D03 (18.65–24.47 Mb). In individual transgenic lines, up to 10 target sites were edited concurrently, with nine targets exhibiting editing efficiencies above 56% and the highest efficiency reaching 96.46%. High-density multiplex editing predominantly induced small insertions and deletions at target loci. Notably, edited plants exhibited reduced growth and pronounced cytological abnormalities, including chromosome bridges, lagging chromosomes, and abnormal meiotic products. Transcriptome analysis revealed widespread dysregulation of genes involved in chromosome segregation and cell cycle regulation. Despite these functional perturbations, HiFi long-read sequencing detected no large-scale chromosomal rearrangements, indicating that genome instability arises from cumulative local perturbations rather than global structural alterations. Conclusions: Together, our results establish an efficient multiplex genome editing platform in cotton and highlight potential constraints of high-density editing on genome stability in complex plant genomes. Full article

Nitrogen (N) is a key nutrient for upland rice (Oryza sativa L.), and plant growth-promoting rhizobacteria (PGPR) have been investigated as a sustainable strategy to improve plant nutrition and crop performance. This study evaluated the effects of N topdressing and PGPR inoculation on leaf chlorophyll index (LCI), leaf nutrient concentrations, and yield components in upland rice. A field experiment was conducted in a randomized block design (4 × 6 factorial) with four N rates (0, 40, 80, and 120 kg ha⁻¹) and five PGPR strains (Azospirillum brasilense, Nitrospirillum amazonense, Bacillus subtilis, Priestia aryabhattai, and Methylobacterium symbioticum), plus a non-inoculated control. No significant interaction between N rates and PGPR inoculation was observed. Nitrogen increased leaf phosphorus (P), potassium (K), and magnesium (Mg) concentrations and panicle number; however, it also increased unfilled grains, reduced grain weight, and did not affect grain yield. Azospirillum brasilense increased LCI by 25.7%. Bacillus subtilis and A. brasilense increased leaf N, K, Mg, copper (Cu) and manganese (Mn) concentrations. Azospirillum brasilense, B. subtilis, N. amazonense, and P. aryabhattai reduced unfilled grains, increased grain weight and grain yield by up to 10.7%, whereas M. symbioticum did not differ from the control in grain yield. Under the conditions of this study, nitrogen was not limiting for grain yield, and all strains, except M. symbioticum, were associated with increases in grain yield and changes in plant nutritional status. Full article

Nitrogen is an essential macronutrient for plant growth, photosynthesis, and grain yield. However, the nitrogen use efficiency (NUE) of crops remains relatively low, leading to nitrogen losses and environmental concerns. This is particularly important in upland rice because it is a high nitrogen user, but research of its NUE is limited. This literature review explored the contributions of leaf morphology, specifically leaf size and leaf angle, to nitrogen utilization efficiency in upland rice under varying rates of nitrogen fertilization. It also evaluated sustainable nitrogen management practices across diverse cropping systems. Findings reveal that nitrogen fertilization significantly influences leaf development, canopy structure, and nitrogen remobilization, all of which directly affect photosynthetic efficiency and yield. Breeding strategies focusing on moderate leaf size and erect leaf angles improve the nitrogen uptake and use by rice. In addition, sustainable farming practices, including precision nitrogen management, conservation agriculture, and intercropping with legumes, are effective in enhancing NUE and reducing nitrogen losses across various rice production systems. Future research should focus on identifying the thresholds of nitrogen rates that optimize leaf morphology across diverse upland rice genotypes and unravel the genetic and physiological mechanisms linking nitrogen application to leaf development. Full article

Chieng Hac in northern Vietnam is expanding maize cultivation, intensifying water competition and soil erosion. This study mapped regional water balance and erosion using remote sensing and GISs by coupling the Thornthwaite–Mather (TM) water balance model with the Revised Universal Soil Loss Equation (RUSLE) at 12.5 m resolution. Land cover was classified into maize, tree crops, paddy, forest, and other types using Random Forest. The TM model used 2021 precipitation and temperature measurements to estimate evapotranspiration, surplus, and deficit, while the RUSLE quantified soil loss. Two scenarios were evaluated: a baseline reflecting existing land use and an adjusted case applying strip cropping on 10–20° maize slopes and converting maize to tree crops on slopes > 20°. Tree crop conversion increased evapotranspiration and prolonged seasonal deficits relative to maize, increasing water deficit from 1013.6 to 1022.2 mm/year. In contrast, the interventions reduced mean soil loss from 15.52 to 11.51 t/ha/year, with the largest decline in the 5–25 t/ha/year class. Residual hotspots persisted on steep slopes and near drainage lines. The integrated framework highlights trade-offs between erosion control and seasonal water availability, supporting slope-based land-use planning in upland agricultural systems. These findings offer guidance for slope-based land-use planning by indicating that intervention priorities should vary depending on slope conditions and local water availability. Full article

Cotton, a globally vital cash crop, is severely constrained by V. dahliae. Lignin, a core structural component of plant cell walls, plays a crucial role in physical defense, with its biosynthesis regulated by hydroxycinnamoyltransferase (HCT)—a key enzyme in the phenylpropanoid pathway. However, the HCT gene family in upland cotton (Gossypium hirsutum) and its role in resistance to V. dahliae remain poorly understood. In this study, we performed a genome-wide identification of the HCT gene family in G. hirsutum, identifying 74 GhHCT genes that were classified into five evolutionary subfamilies. Bioinformatics analysis revealed that GhHCT proteins exhibit conserved functional domains but diverse gene structures, with promoter regions enriched in hormone-responsive and stress-responsive cis-acting elements. Expression profiling revealed that multiple GhHCT genes were significantly induced in response to V. dahliae infection. Three genes, GhHCT2, GhHCT35, and GhHCT47, showed significantly higher expression levels in resistant cultivars than in susceptible cultivars during early infection stages, suggesting pivotal roles in defense. These three candidate genes, which contain MeJA/SA-responsive elements in their promoters, may enhance resistance by regulating lignin synthesis to strengthen the cell wall barrier. In summary, this study provides the first comprehensive characterization of the HCT gene family in upland cotton. It identifies key candidates for improving resistance to V. dahliae, offering valuable genetic resources for molecular breeding. Full article

In this study, the effects of ozone treatment (O₃), heat shock treatment (HS), and microwave treatment (MW) on sensory quality, physicochemical properties, and oxidation levels of sweet corn were systematically investigated during storage. The results demonstrated that three treatments prolonged the postharvest quality of sweet corn to varying degrees. Specifically, the O₃ group demonstrated the best sensory and appearance characteristics, with its sensory score being 1.18 and 1.38 folds higher than the HS group and MW group, respectively, and significant retardation of color deterioration. In addition, the O₃ group effectively maintained the stability and hardness of the starch structure. The weight loss rate of the HS group decreased 0.78-fold compared to the CT group after storage. Moreover, both HS and MW treatments maintained the antioxidant properties of sweet corn, but MW had the limitations of local scalding damage and accelerated deterioration in later quality. The results of this study provide a scientific basis for the optimization and application of postharvest preservation techniques for sweet corn. Full article

Understanding how climate extremes affect crop growth in humid–subtropical hilly regions is essential for climate-smart agriculture, yet phenology-resolved evidence remains limited. We combined 20 ETCCDI extreme climate indices (1960–2024) with field records of wheat and maize production (2005–2024) from the hilly area of southwest China, and quantified climate–crop linkages using Mantel tests and generalized additive models; persistence and prospective tendencies were evaluated using Hurst (H) and Mann–Kendall statistics. Warming extremes intensified, with significant increases in TXx (0.22 °C decade⁻¹), SU25 (2.48 days decade⁻¹), and DTR (0.47 °C decade⁻¹), while TNx and TNn declined and frost days increased; most precipitation intensity indices showed no significant trends except CDD, which increased by 1.73 days decade⁻¹. Seasonally, warm extremes and CDD strengthened during the maize season, whereas climatic conditions during the wheat season were comparatively more favorable. Climate impacts on crop growth were stage-dependent, typically lagging by 1–2 months: wheat biomass was positively associated with TXx/TNx (strongest near heading), whereas maize production was more sensitive to temperature extremes (negative) and precipitation frequency indices; CDD significantly affected both crops. These findings suggest that compound heat–drought risks for maize could increase under the persistence and trend signals observed in the historical record, while modest warming may benefit wheat but cold extremes could remain a constraint for management. Full article

Cotton is one of the most significant economic crops cultivated worldwide. Cottonseed is a strategic reservoir of high-quality plant protein and an underexploited resource for the food and feed industries. To quantify nutritional diversity and identify superior germplasm, we evaluated 312 upland cotton (Gossypium hirsutum L.) accessions over two consecutive growing seasons and characterized 30 agronomic and nutritional traits. Protein content varied widely (29.6–48.8%), with a coefficient of variation of 7.5–11.7% and a two-year mean of 37.0%. Glutamic acid (Glu; 154.0 mg/g) and aspartic acid (Asp; 90.7 mg/g) were the most abundant amino acids, and lysine and arginine were relatively high among essential amino acids. Correlation analysis based on genotype best linear unbiased estimates (BLUEs) showed that most nutritional traits were positively or neutrally associated with key yield-related traits, particularly lint percentage (LP) (e.g., protein vs. LP: r = 0.18, p < 0.01), indicating the feasibility of simultaneous improvement in seed nutritional quality and lint yield potential. Using 29 core traits with complete two-year data, we developed an integrated evaluation framework combining principal component analysis (PCA), grey relational analysis (GRA), TOPSIS, and the analytic hierarchy process (AHP) to rank accessions comprehensively. This framework identified 10 elite germplasm lines with high protein content and favorable yield potential, exemplified by “Xinluzhong 34” (Rank 1; phenotypic comprehensive value, P_i = 0.733). These results provide a quantitative foundation for value-added cottonseed utilization and support breeding strategies aimed at developing cultivars with both high yield and enhanced nutritional quality. Full article

Crop rotation plays a critical role in enhancing cropping intensity and ensuring food security. To evaluate its long-term effects on soil quality, a fixed-site field experiment established in 2014 including four cropping systems—winter fallow–rice (Oryza sativa L.) (FR), potato (Solanum tuberosum L.) –maize (Zea mays L.) (PM), potato–rice (PR), and potato–rice → rapeseed (Brassica napus L.) –rice (RRPR)—was conducted. A minimum data set (MDS) was screened from 21 soil indicators via principal component analysis (PCA), and the soil quality index (SQI) was calculated by integrating membership functions and indicator weights to comprehensively evaluate the impact of different patterns on soil quality. Results showed that paddy–upland rotations (PR and RRPR) significantly improved soil physical properties, increasing soil moisture content, porosity, and macro-aggregate proportion by 2.27–10.17%, while reducing bulk density by 10.32–13.38%, compared to FR and PM. PR and RRPR rotations also increased total nitrogen (TN), available phosphorus (AP), and available potassium contents (AK) by 5.19–114.00% (p < 0.01). PM rotation notably enhanced available nutrients, with NH₄⁺-N, AP, and AK rising by 3.65–243.50% (p < 0.05), compared to FR. The MDS-based SQI, comprising NH₄⁺-N, AP, mean weight diameter, and soil porosity, showed a highly significant positive correlation with the total data set-based SQI (p < 0.0001). PM exhibited the highest and most stable SQI, exceeding other systems by 8.15–19.30%, while PR and RRPR increased SQI by 9.04–10.30%, compared to FR. In conclusion, potato-based cropping systems enhance soil quality by improving soil structure and increasing nutrient content and availability. The results of this study provide a theoretical basis for nutrient management and sustainable production in cropping systems. Full article

Nitrogen leaching from land and farms is a major global issue that pollutes water, damages ecosystems, and accelerates climate change. This review synthesizes evidence from the literature on how interactions among landscape characteristics, sources of nitrogen input, and temporal dynamics shape leaching vulnerability. It identifies conditions under which nitrogen is most likely to be transported through soil systems into aquatic environments. This review reveals that leaching vulnerability is strongly conditioned by soil hydraulic properties and topographic position. Coarse-textured upland soils exhibit substantially greater nitrate mobilization than finer-textured, hydrologically buffered lowland soils. Fertilizer formulation and application timing further modulate loss potential, with late-season mineral nitrogen inputs disproportionately contributing to subsurface export relative to demand-synchronized applications. Most of the nitrogen leaching occurs outside the active growing period, when vegetative uptake is suppressed and drainage intensity is highest. Farmers can lower nitrate runoff by using targeted fertilization, cover crops, and nitrification inhibitors, while landscape-scale features like controlled drainage and vegetative buffers provide additional downstream filtration. The effectiveness of regulatory approaches is amplified when aligned with economic incentives and regionally calibrated nutrient thresholds. Advances in high-resolution observation platforms and process-based predictive tools offer new capacity for anticipatory management, although widespread deployment is limited by financial and institutional constraints. Collectively, these insights support the development of more targeted and sustainable nitrogen management strategies. Full article

Cotton (Gossypium spp.) is the most important fiber crop for the textile industry globally. Abiotic stresses, including drought, have become prevalent in affecting cotton production worldwide. There is a shortage of studies on the use of biochar as a soil amendment in the semi-arid and arid Southwest and West U.S. Cotton Belt to alleviate drought stress. This study was conducted to examine the effects of biochar at four application rates (0, 6.25, 12.5, and 25.0 t ha⁻¹) on cotton yield and yield components using six tetraploid cotton genotypes, including one Pima (G. barbadense L.) and five Upland cottons (G. hirsutum L.), under well-watered (WW) and drought stress (DS) conditions in an arid region of New Mexico, USA. The six cotton genotypes consistently showed that DS at the flowering stage significantly decreased boll number (BN), boll weight (BW), and lint percentage (LP), and thereby seed cotton weight (SCW) per plant and lint weight (LW) per plant. However, Pima DP 359 RF had the lowest reduction (23–33%) in BN, SCW, and LW due to drought, while DP 2020 B3XF was the most sensitive to drought, with a 45–48% reduction in the traits. Under DS conditions, biochar at the rate of 12.5 t ha⁻¹ had the highest SCW and LW, and the lowest reduction in BN, BW, SCW, and LW due to drought, which was significantly different from the non-biochar control, and no genotype × biochar interaction was detected. However, biochar had no positive effects on cotton productivity under non-drought conditions. This study has demonstrated the positive effects of biochar on cotton yield and yield components in alleviating drought stress, laying the foundation for more follow-up studies toward its utility in cotton production in semi-arid and arid areas. Full article