Variation in Forage Yield-Related Traits in a Broad Range of Sainfoin Accessions
Abstract
1. Introduction
2. Materials and Methods
2.1. Plant Materials
2.2. Experimental Design and Phenotypic Data Collection
2.3. Data Processing and Statistical Analyses
2.3.1. Assessment of Trait Distributions
2.3.2. Environmental and Genetic Sources of Variation
2.3.3. Species- and Accession-Level Comparisons
2.3.4. Estimation of Entry-Mean Repeatability (H2)
2.3.5. Trait Correlations and Multivariate Analyses
2.3.6. Multi-Criteria Accession Ranking
3. Results
3.1. Trait Distributions and Summary Statistics
3.2. Environmental and Genetic Sources of Variation
3.3. Species- and Accession-Level Variation
3.4. Entry-Mean Repeatability of Sainfoin Traits
3.5. Trait Correlations and Multivariate Analyses
3.6. Accession Ranking and TOPSIS Analysis
4. Discussion
4.1. Environment Strongly Influences Sainfoin Forage Trait Expression
4.2. Significant Within-Species Variation Exists Across Sainfoin Germplasm
4.3. Species Differ, but Substantial Phenotypic Overlap Remains
4.4. Several Agronomic Traits Exhibited Moderate to High Repeatability
4.5. Relationships Among Forage-Related Agronomic Traits
4.6. Several Accessions Outperformed Commercial Cultivars
4.7. Broad Germplasm Collections Remain Valuable for Sainfoin Improvement
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| HSD | Tukey’s Honest Significant Difference |
| CLD | Compact Letter Display |
| H2 | Entry-mean repeatability |
| PCA | Principal Component Analysis |
| TOPSIS | Technique for Order Preference by Similarity to Ideal Solution |
References
- Borreani, G.; Peiretti, P.G.; Tabacco, E. Evolution of yield and quality of sainfoin (Onobrychis viciifolia Scop.) in the spring growth cycle. Agronomie 2003, 23, 193–201. [Google Scholar] [CrossRef]
- Bekovic, D.; Kne, J. The Influence of Row Spacing on Yield and Quality Levels of Sainfoin (Onobrychis viciifolia Scop.) Seed in Agroecological Conditions of South Serbia. Int. J. Biosci. 2016, 8, 242–248. [Google Scholar]
- Delgado, I.; Rego, J.; Andres, C.; Sin, E. La esparceta o pipirigallo, un cultivo a potenciar. In Surcos de Aragón; Department of Agriculture, Livestock and Environment of the Government of Aragón: Zaragoza, Spain, 2004. [Google Scholar]
- Smoliak, S.; Johnston, A.; Hanna, M.R. Germination and seedling growth of alfalfa, sainfoin, and cicer milkvetch. Can. J. Plant Sci. 1972, 52, 757–762. [Google Scholar] [CrossRef]
- Sakhraoui, A.; Ltaeif, H.B.; Sakhraoui, A.; Villalba, J.J.; Castillo, J.M.; Rouz, S. Sainfoin (Onobrychis viciifolia) a legume with great ecological and agronomical potential under climate change. J. Agric. Sci. 2024, 162, 307–331. [Google Scholar] [CrossRef]
- Gul, Z.; Tan, M. Determination of dry matter yield, some morphological characteristics and rootworm infestation in local sainfoin populations. Turk. J. Agric. For. 2024, 48, 531–538. [Google Scholar] [CrossRef]
- Krall, J.M.; Delaney, R.H. Assessment of Acetylene Reduction by Sainfoin and Alfalfa over Three Growing Seasons1. Crop Sci. 1982, 22, 762–766. [Google Scholar] [CrossRef]
- Kells, A. Sainfoin: An alternative forage crop for bees. Bee World 2015, 82, 192–194. [Google Scholar]
- Poudel, H.P.; Bhattarai, S.; Singer, S.D.; Biligetu, B.; Acharya, S. An insight into sainfoin (Onobrychis viciifolia Scop.) breeding: Challenges and achievements. Agron. J. 2023, 115, 2843–2858. [Google Scholar] [CrossRef]
- Qiao, Y.; Cheng, Q.; Zhang, Y.; Yan, W.; Yi, F.; Shi, F. Transcriptomic and chemical analyses to identify candidate genes involved in color variation of sainfoin flowers. BMC Plant Biol. 2021, 21, 61. [Google Scholar] [CrossRef] [PubMed]
- Howarth, R.E.; Goplen, B.P.; Fesser, A.C.; Brandt, S.A. A possible role for leaf cell rupture in legume pasture bloat. Crop Sci. 1978, 18, 129–133. [Google Scholar] [CrossRef]
- Bhattarai, S.; Coulman, B.; Biligetu, B. Sainfoin (Onobrychis viciifolia Scop.): Renewed interest as a forage legume for western Canada. Can. J. Plant Sci. 2016, 96, 748–756. [Google Scholar] [CrossRef]
- Wang, Y.; McAllister, T.A.; Acharya, S. Condensed Tannins in Sainfoin: Composition, Concentration, and Effects on Nutritive and Feeding Value of Sainfoin Forage. Crop Sci. 2015, 55, 13–22. [Google Scholar] [CrossRef]
- Wang, Y.; Berg, B.P.; Barbieri, L.R.; Veira, D.M.; McAllister, T.A. Comparison of alfalfa and mixed alfalfa-sainfoin pastures for grazing cattle: Effects on incidence of bloat, ruminal fermentation, and feed intake. Can. J. Anim. Sci. 2006, 86, 383–392. [Google Scholar] [CrossRef]
- McMahon, L.R.; Majak, W.; McAllister, T.A.; Hall, J.W.; Jones, G.A.; Popp, J.D.; Cheng, K.-J. Effect of sainfoin on in vitro digestion of fresh alfalfa and bloat in steers. Can. J. Anim. Sci. 1999, 79, 203–212. [Google Scholar] [CrossRef]
- Shain, S.C. Description of Sainfoin in Agrotechniques of Perennial Forages. In A Compilation of Abstracts of Sainfoin Literature; Carleton, A.E., Cooper, C.S., Eds.; Knowles, R.P., Trans.; Selkhozgiz: Moscow, Russia, 1959. [Google Scholar]
- Al Rharad, A.; El Aayadi, S.; Avril, C.; Souradjou, A.; Sow, F.; Camara, Y.; Hornick, J.-L.; Boukrouh, S. Meta-Analysis of Dietary Tannins in Small Ruminant Diets: Effects on Growth Performance, Serum Metabolites, Antioxidant Status, Ruminal Fermentation, Meat Quality, and Fatty Acid Profile. Animals 2025, 15, 596. [Google Scholar] [CrossRef] [PubMed]
- Mueller-Harvey, I.; Bee, G.; Dohme-Meier, F.; Hoste, H.; Karonen, M.; Kölliker, R.; Lüscher, A.; Niderkorn, V.; Pellikaan, W.F.; Salminen, J.-P.; et al. Benefits of Condensed Tannins in Forage Legumes Fed to Ruminants: Importance of Structure, Concentration, and Diet Composition. Crop Sci. 2019, 59, 861–885. [Google Scholar] [CrossRef]
- Boukrouh, S.; Noutfia, A.; Moula, N.; Avril, C.; Hornick, J.-L.; Chentouf, M.; Cabaraux, J.-F. Effects of Sulla Flexuosa Hay as Alternative Feed Resource on Goat’s Milk Production and Quality. Animals 2023, 13, 709. [Google Scholar] [CrossRef] [PubMed]
- McMahon, L.R.; McAllister, T.A.; Berg, B.P.; Majak, W.; Acharya, S.N.; Popp, J.D.; Coulman, B.E.; Wang, Y.; Cheng, K.-J. A review of the effects of forage condensed tannins on ruminal fermentation and bloat in grazing cattle. Can. J. Plant Sci. 2000, 80, 469–485. [Google Scholar] [CrossRef]
- Boukrouh, S.; Noutfia, A.; Moula, N.; Avril, C.; Louvieaux, J.; Hornick, J.-L.; Chentouf, M.; Cabaraux, J.-F. Characterisation of bitter vetch (Vicia ervilia (L.) Willd) ecotypes: An ancient and promising legume. Exp. Agric. 2024, 60, e19. [Google Scholar] [CrossRef]
- Boukrouh, S.; Noutfia, A.; Moula, N.; Avril, C.; Louvieaux, J.; Hornick, J.L.; Chentouf, M.; Cabaraux, J.F. Ecological, morpho-agronomical, and nutritional characteristics of Sulla flexuosa (L.) Medik. ecotypes. Sci. Rep. 2023, 13, 13300. [Google Scholar] [CrossRef] [PubMed]
- Craine, E.; Şakiroğlu, M.; Peters, T.; Barriball, S.; Schlautman, B. Perennial BakiTM Bean: Nutritional Quality of a Novel Perennial Pulse Crop. In ASA, CSSA, SSSA International Annual Meeting; ASA-CSSA-SSSA: Madison, WI, USA, 2023; Available online: https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/148416 (accessed on 26 April 2025).
- Craine, E.B.; Şakiroğlu, M.; Barriball, S.; Peters, T.E.; Schlautman, B. Perennial BakiTM Bean Safety for Human Consumption: Evidence from an Analysis of Heavy Metals, Folate, Canavanine, Mycotoxins, Microorganisms and Pesticides. Molecules 2024, 29, 1777. [Google Scholar] [CrossRef] [PubMed]
- Craine, E.B.; Makav, M.; Dağ, S.; Yıldız, A.; Eroğlu, H.A.; Kuru, B.B.; Bektaşoğlu, F.; Barriball, S.; Schlautman, B.; Şakiroğlu, M. Effect of sainfoin (Onobrychis viciifolia Scop.) seed-based diet on rats: A comprehensive evaluation of hemogram, biochemistry, and histopathology. Food Sci. Nutr. 2024, 12, 4692–4701. [Google Scholar] [CrossRef] [PubMed]
- Craine, E.B.; Barriball, S.; Şakiroğlu, M.; Peters, T.; Schlautman, B. Amino acid and fatty acid profiles of perennial BakiTM bean. Front. Nutr. 2024, 10, 1292628. [Google Scholar] [CrossRef] [PubMed]
- Yildiz, B.; Çiplak, B.; Aktoklu, E. Fruit Morphology of Sections of the Genus Onobrychis Miller (Fabaceae) and Its Phylogenetic Implications. Isr. J. Plant Sci. 1999, 47, 269–282. [Google Scholar] [CrossRef]
- Fortune, J.A.; Withers, N.J. Sainfoin—Curiosity or Crop? Proc. Agron. Soc. N. Z. 1980, 10, 67–70. [Google Scholar]
- Sakhraoui, A.; Ltaeif, H.B.; Sakhraoui, A.; Rouz, S.; Castillo, J.M. Potential use of wild Onobrychis species for climate change mitigation and adaptation. Crop Sci. 2023, 63, 3153–3174. [Google Scholar] [CrossRef]
- Zarrabian, M.; Majidi, M.M. Genetic diversity and relationships within and among Onobrychisspecies using molecular markers. Turk. J. Bot. 2015, 39, 681–692. [Google Scholar] [CrossRef]
- Mora-Ortiz, M.; Smith, L.M.J. Onobrychis viciifolia; a comprehensive literature review of its history, etymology, taxonomy, genetics, agronomy and botany. Plant Genet. Resour. 2018, 16, 403–418. [Google Scholar] [CrossRef]
- Irani, S.; Majidi, M.M.; Mirlohi, A.; Karami, M.; Zargar, M. Response to Drought Stress in Sainfoin: Within and Among Ecotype Variation. Crop Sci. 2015, 55, 1868–1880. [Google Scholar] [CrossRef]
- Monirifar, H. The potential of the new synthetic variety of Iranian sainfoin (Onobrychis viciifolia Scop.). J. Plant Physiol. Breed. 2022, 12, 85–92. [Google Scholar] [CrossRef]
- Zarrabian, M.; Majidi, M.M.; Ehtemam, M.H. Genetic Diversity in a Worldwide Collection of Sainfoin Using Morphological, Anatomical, and Molecular Markers. Crop Sci. 2013, 53, 2483–2496. [Google Scholar] [CrossRef]
- Karabulut, E.; Erkoç, K.; Acı, M.; Aydın, M.; Barriball, S.; Braley, J.; Cassetta, E.; Craine, E.B.; Diaz-Garcia, L.; Hershberger, J.; et al. Sainfoin (Onobrychis spp.) crop ontology: Supporting germplasm characterization and international research collaborations. Front. Plant Sci. 2023, 14, 1177406. [Google Scholar] [CrossRef] [PubMed]
- Gross, J.; Ligges, U. nortest: Tests for Normality 2006, version 1.0-4; CRAN: Windhoek, Namibia, 2015. [CrossRef]
- Peterson, R.A. bestNormalize: Normalizing Transformation Functions, version 1.9.2; CRAN: Windhoek, Namibia, 2025. Available online: https://cran.r-project.org/web/packages/bestNormalize/index.html (accessed on 6 January 2026).
- Kuznetsova, A.; Brockhoff, P.B.; Christensen, R.H.B. lmerTest Package: Tests in Linear Mixed Effects Models. J. Stat. Softw. 2017, 82, 1–26. [Google Scholar] [CrossRef]
- Lenth, R.V.; Piaskowski, J.; Banfai, B.; Bolker, B.; Buerkner, P.; Giné-Vázquez, I.; Hervé, M.; Jung, M.; Love, J.; Miguez, F.; et al. emmeans: Estimated Marginal Means, Aka Least-Squares Means, version 2.0.3; CRAN: Windhoek, Namibia, 9 April 2026. Available online: https://cran.r-project.org/web/packages/emmeans/index.html (accessed on 4 June 2026).
- Graves, S.; Piepho, H.-P.; Selzer, L.; Dorai-Raj, S. multcompView: Visualizations of Paired Comparisons, version 0.1-11; CRAN: Windhoek, Namibia, 2026. Available online: https://cran.r-project.org/web/packages/multcompView/index.html (accessed on 4 June 2026).
- Bates, D.; Mächler, M.; Bolker, B.; Walker, S. Fitting Linear Mixed-Effects Models Using lme4. J. Stat. Softw. 2015, 67, 1–48. [Google Scholar] [CrossRef]
- Schloerke, B.; Cook, D.; Larmarange, J.; Briatte, F.; Marbach, M.; Thoen, E.; Elberg, A.; Toomet, O.; Crowley, J.; Hofmann, H.; et al. GGally: Extension to “ggplot2”, version 2.4.0; CRAN: Windhoek, Namibia, 2025. Available online: https://cran.r-project.org/web/packages/GGally/index.html (accessed on 4 June 2026).
- Wickham, H. Programming with ggplot2. In ggplot2: Elegant Graphics for Data Analysis; Wickham, H., Ed.; Springer International Publishing: Cham, Switzerland, 2016; pp. 241–253. ISBN 978-3-319-24277-4. [Google Scholar]
- Kassambara, A.; Business, L.E. ggpubr: “ggplot2” Based Publication Ready Plots; Faculty of Engineering, University of Debrecen: Debrecen, Hungary, 2026; Available online: https://cran.r-project.org/web/packages/ggpubr/index.html (accessed on 4 June 2026).
- R Core Team. R A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; Scientific Research Publishing: Irvine, CA, USA, 2025; Available online: https://www.scirp.org/reference/referencespapers?referenceid=3967248 (accessed on 4 June 2026).
- Yazdi, M.M. Topsis: TOPSIS Method for Multiple-Criteria Decision Making (MCDM), version 1.0; CRAN: Windhoek, Namibia, 2013. Available online: https://rdrr.io/cran/topsis/?utm_source=chatgpt.com (accessed on 4 June 2026).
- Delgado, I.; Salvia, J.; Buil, I.; Andrés, C. The agronomic variability of a collection of sainfoin accessions. Span. J. Agric. Res. 2008, 6, 401–407. [Google Scholar] [CrossRef]
- Sayar, M.; Han, Y.; Basbag, M. Forage Yield and Forage Quality Traits of Sainfoin (Onobrychis viciifolia Scop.) Genotypes and Evaluations with Biplot Analysis. Fresenius Environ. Bull. 2022, 31, 4009–4017. [Google Scholar]
- Mohajer, S.; Jafari, A.A.; Taha, R. Studies on seed and forage yield in 10 populations of sainfoin (Onobrychis sativa) grown as spaced plants and swards. J. Food Agric. Environ. 2011, 9, 222–227. [Google Scholar]
- Mohajer, S.; Jafari, A.A.; Taha, R.M.; Yaacob, J.S.; Saleh, A. Genetic diversity analysis of agro-morphological and quality traits in populations of sainfoin (Onobrychis sativa). Aust. J. Crop Sci. 2013, 7, 1024–1031. [Google Scholar]



| Tekirdağ-23 | Salina-24 | ||||
|---|---|---|---|---|---|
| Traits † | Unit | Mean ± SD | Range | Mean ± SD | Range |
| CanHt | cm | 50.53 ± 10.59 | 28.44–68.57 | 66.47 ± 10.01 | 26.1–79.9 |
| StTh | mm | 4.88 ± 0.62 | 3.63–6.32 | 6.78 ± 1.75 | 3.71–20.69 |
| StL | cm | 64.18 ± 12.37 | 23.8–86.08 | 78.99 ± 7.72 | 55.7–98.5 |
| StN1/StN | n | 36.61 ± 10.73 | 4.43–62.24 | 54.61 ± 10.94 | 25.9–89.4 |
| RaN | n | 3.19 ± 0.82 | 1.14–5.27 | 13.05 ± 2.17 | 7.97–19.82 |
| FoSDM | g | 227.59 ± 74.39 | 73.9–382.3 | NA | NA |
| StN2 | n | 31.09 ± 8.94 | 8.35–47.13 | NA | NA |
| RaL | cm | 9.29 ± 2.26 | 3.58–12.25 | NA | NA |
| InfL | cm | 21.22 ± 3.93 | 9.13–26.99 | NA | NA |
| FoDM | g | NA | NA | 324.72 ± 79.13 | 35–447 |
| PlStEr | 1–9 | NA | NA | 3.24 ± 1.07 | 1.13–7.89 |
| PlRGR | 0–5 | NA | NA | 2.18 ± 0.6 | 0.44–3.92 |
| Source of Variation | Df † | CanHt ‡ | StTh | StN | StL | RaN |
|---|---|---|---|---|---|---|
| Environment | 1 | 107.76 *** | 149.39 *** | 38.26 *** | 34.99 *** | 0.14 |
| Species | 2 | 0.78 | 12.08 *** | 0.20 | 1.31 | 5.17 ** |
| Accession | 27 | 1.66 | 3.16 *** | 1.35 | 3.04 *** | 2.06 ** |
| Environment × Species | 2 | 0.77 | 2.72 | 2.04 | 4.15 * | 4.29 * |
| Environment × Accessions | 26 | 1.64 | 1.41 | 2.45 *** | 3.88 *** | 2.08 ** |
| Trait | Species | Accession | Repeatability (H2) |
|---|---|---|---|
| CanHt † | 1.93 | 0.96 | 0.27 |
| StTh | 1.44 | 1.3 | 0.26 |
| StL | 1.35 | 2.43 *** | 0.7 |
| FoSDM | 1.44 | 1.46 | 0.63 |
| StN1 | 1.85 | 2.13 ** | 0.52 |
| RaN | 1.73 | 1.44 | 0.41 |
| RaL | 4.08 ** | 1.53 | 0.55 |
| InfL | 2.78 * | 2.10 ** | 0.71 |
| Trait | Species | Accession | Repeatability (H2) |
|---|---|---|---|
| CanHt † | 4.26 ** | 4.18 *** | 0.6 |
| StTh | 3.05 * | 1.84 ** | 0.06 |
| StL | 4.96 ** | 2.22 *** | 0.49 |
| FoDM | 2.99 * | 1.48 * | 0.39 |
| StN | 11.03 *** | 2.76 *** | 0.35 |
| RaN | 3.57 * | 2.03 *** | 0.23 |
| PlStEr | 46.94 *** | 15.36 *** | 0.48 |
| PlRGR | 11.40 *** | 3.50 *** | 0.43 |
| Trait | Unit | O. arenaria | O. transcaucasica | O. viciifolia | Breeding Populations/Cultivars |
|---|---|---|---|---|---|
| CanHt † | cm | 46.8 ± 5.68 a | 49.5 ± 1.84 a | 45.5 ± 2.50 a | 58.5 ± 1.97 b |
| StTh | mm | 4.65 ± 0.28 a | 4.98 ± 0.10 a | 4.66 ± 0.13 a | 4.94 ± 0.11 a |
| StL | cm | 57.1 ± 5.62 a | 64.9 ± 2.36 a | 65.8 ± 2.86 ab | 72.1 ± 2.45 b |
| FoSDM | g | 171 ± 46.70 a | 217 ± 28.70 a | 224 ± 31 a | 297 ± 29.10 b |
| StN1 | n | 35.4 ± 1.76 a | 35.4 ± 1.76 a | 38.4 ± 2.33 a | 41.1 ± 1.86 a |
| RaN | n | 3.37 ± 0.42 a | 3.42 ± 0.17 a | 3.52 ± 0.21 a | 3.01 ± 0.18 a |
| StN2 | n | 34.5 ± 5.49 a | 32.6 ± 1.78 a | 33.9 ± 2.42 a | 31.8 ± 1.91 a |
| RaL | cm | 11.07 ± 0.95 a | 9.88 ± 0.49 a | 8.71 ± 0.55 a | 9.85 ± 0.50 a |
| InfL | cm | 24.8 ± 1.62 a | 22 ± 0.80 a | 20.7 ± 0.91 a | 22.4 ± 0.82 a |
| Trait | Unit | O. arenaria | O. transcaucasica | O. viciifolia | Breeding Populations/Cultivars |
|---|---|---|---|---|---|
| CanHt † | cm | 69.8 ± 2.53 b | 71.3 ± 2.63 b | 61.5 ± 2.75 a | 62.5 ± 3.45 a |
| StTh | mm | 6.77 ± 0.17 b | 6.78 ± 0.18 b | 5.97 ± 0.19 a | 6.54 ± 0.26 ab |
| StN | n | 56.7 ± 3.14 b | 58.3 ± 3.27 b | 57.2 ± 3.43 b | 43.3 ± 4.34 a |
| StL | cm | 83.4 ± 2.17 c | 79.1 ± 2.26 b | 72.4 ± 2.37 a | 73.3 ± 3.0 ab |
| RaN | n | 14 ± 0.98 c | 12.8 ± 1.01 b | 11.2 ± 1.03 a | 14.2 ± 1.19 bc |
| FoDM | g | 381 ± 21.90 c | 350 ± 22.70 b | 289 ± 23.60 a | 252 ± 28.90 a |
| PlStEr | 1–9 | 3.41 ± 0.14 b | 3.42 ± 0.17 b | 2.74 ± 0.20 a | 3.9 ± 0.34 b |
| PlRGR | 0–5 | 2.25 ± 0.07 a | 2.39 ± 0.09 a | 2.17 ± 0.11 a | 2.35 ± 0.19 a |
| Accession/Cultivar | FoDM Ranking † | FoDM (g) | CanHt Ranking | CanHt (cm) |
|---|---|---|---|---|
| PI 312924 | 1 | 447 | 2 | 79.6 |
| PI 372798 | 2 | 447 | 18 | 73.9 |
| PI 273744 | 3 | 436 | 34 | 70.4 |
| PI 273786 | 4 | 433 | 21 | 72.5 |
| PI 312928 | 5 | 424 | 33 | 70.3 |
| PI 312927 | 8 | 417 | 5 | 77 |
| PI 273746 | 14 | 410 | 4 | 78.3 |
| PI 372804 | 28 | 368 | 3 | 78.9 |
| PI 600767 | 33 | 360 | 1 | 79.9 |
| Renumex | 60 | 291 | 47 | 67.8 |
| Shoshone | 67 | 257 | 65 | 59.2 |
| AAC Mountainview | 70 | 236 | 41 | 68.5 |
| R. M. Remont | 72 | 225 | 70 | 56.7 |
| Eski | 77 | 152 | 66 | 58.3 |
| Delaney | 78 | 147 | 69 | 57.7 |
| Rank | Tekirdağ-23 Trial | Salina-24 Trial |
|---|---|---|
| 1 | PI313047 | PI273749 |
| 2 | PI273758 | PI273748 |
| 3 | Breeding line 6 | PI273752 |
| 4 | Lütfübey | PI273758 |
| 5 | Breeding line 11 | AAC Mountainview |
| 6 | Breeding line 13 | PI273769 |
| 7 | Breeding line 8 | PI312924 |
| 8 | Breeding line 9 | PI372804 |
| 9 | PI251698 | PI372798 |
| 10 | Özerbey | PI273786 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Karabulut-Uzun, E.; Erkoç, K.; Barriball, S.; Meyering, B.; Tuna, M.; Schlautman, B.; Şakiroğlu, M. Variation in Forage Yield-Related Traits in a Broad Range of Sainfoin Accessions. Agronomy 2026, 16, 1459. https://doi.org/10.3390/agronomy16151459
Karabulut-Uzun E, Erkoç K, Barriball S, Meyering B, Tuna M, Schlautman B, Şakiroğlu M. Variation in Forage Yield-Related Traits in a Broad Range of Sainfoin Accessions. Agronomy. 2026; 16(15):1459. https://doi.org/10.3390/agronomy16151459
Chicago/Turabian StyleKarabulut-Uzun, Ebrar, Kübra Erkoç, Spencer Barriball, Bo Meyering, Metin Tuna, Brandon Schlautman, and Muhammet Şakiroğlu. 2026. "Variation in Forage Yield-Related Traits in a Broad Range of Sainfoin Accessions" Agronomy 16, no. 15: 1459. https://doi.org/10.3390/agronomy16151459
APA StyleKarabulut-Uzun, E., Erkoç, K., Barriball, S., Meyering, B., Tuna, M., Schlautman, B., & Şakiroğlu, M. (2026). Variation in Forage Yield-Related Traits in a Broad Range of Sainfoin Accessions. Agronomy, 16(15), 1459. https://doi.org/10.3390/agronomy16151459

