Assessment of Alfalfa Populations for Forage Productivity and Seed Yield Potential under a Multi-Year Field Trial
Abstract
:1. Introduction
2. Materials and Methods
2.1. Plant Material and Experimental Set-Up
2.2. Determination of Forage Yield
2.3. Determination of Seed Yield
2.4. Climatic Conditions during the Study Period
2.5. Statistical Analysis
3. Results and Discussion
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Annicchiarico, P. Alfalfa forage yield and leaf/stem ratio: Narrow-sense heritability, genetic correlation, and parent selection procedures. Euphytica 2015, 205, 409–420. [Google Scholar] [CrossRef]
- Jia, C.; Zhao, F.; Wang, X.; Han, J.; Zhao, H.; Liu, G.; Wang, Z. Genomic Prediction for 25 Agronomic and Quality Traits in Alfalfa (Medicago sativa). Front. Plant Sci. 2018, 9, 1220. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ghaleb, W.; Ahmed, L.Q.; Escobar-Gutiérrez, A.J.; Julier, B. The History of Domestication and Selection of Lucerne: A New Perspective from the Genetic Diversity for Seed Germination in Response to Temperature and Scarification. Front. Plant Sci. 2021, 11, 578121. [Google Scholar] [CrossRef] [PubMed]
- Kamran, M.; Yan, Z.; Jia, Q.; Chang, S.; Ahmad, I.; Ghani, M.U.; Hou, F. Irrigation and nitrogen fertilization influence on alfalfa yield, nutritive value, and resource use efficiency in an arid environment. Field Crops Res. 2022, 284, 108587. [Google Scholar] [CrossRef]
- Julier, B.; Gastal, F.; Louarn, G.; Badenhausser, I.; Annicchiarico, P.; Crocq, G.; le Chatelier, D.; Guillemot, E.; Emile, J.C. Lucerne (alfalfa) in European cropping systems. In Legume in Cropping Systems; Murphy-Bokern, D., Stoddard, F.L., Watson, C.A., Eds.; CABI: Wallingford, UK, 2017; pp. 168–192. [Google Scholar]
- Jogezai, S.; Taj, M.K.; Shahzad, F.; Khan, A.W.; Taj, I.; Yasmeen, S.; Ullah, N.; Azam, S.; Lalbibi; Sazain, B.; et al. Role of alfalfa in natural environment. J. Biodivers. Environ. Sci. 2019, 15, 25–31. [Google Scholar]
- Filippa, F.; Panara, F.; Leonardi, D.; Arcioni, L.; Calderini, O. Life Cycle Assessment Analysis of Alfalfa and Corn for Biogas Production in a Farm Case Study. Processes 2020, 8, 1285. [Google Scholar] [CrossRef]
- Tucak, M.; Ravlić, M.; Horvat, D.; Čupić, T. Improvement of Forage Nutritive Quality of Alfalfa and Red Clover through Plant Breeding. Agronomy 2021, 11, 2176. [Google Scholar] [CrossRef]
- Francioni, M.; Trozzo, L.; Baldoni, N.; Toderi, M.; Bianchini, M.; Kishimoto-Mo, A.W.; D’Ottavio, P. Management of a Mediterranean Forage/Cereal-Based Cropping System: An Ecosystem Service Multisectoral Analysis in the Perspective of Climate Change. Atmosphere 2022, 13, 487. [Google Scholar] [CrossRef]
- Statistical Yearbook of the Republic of Croatia Croatian Bureau of Statistics, Zagreb, Croatia. 2018. Available online: https://podaci.dzs.hr/media/wsdkedwa/sljh2018.pdf (accessed on 22 December 2022).
- Eckberg, J.O.; Wells, S.S.; Jungers, J.M.; Lamb, J.F.S.; Sheaffer, C.C. Alfalfa forage yield, milk yield, and nutritive value under intensive cutting. Agrosystems Geosci. Environ. 2022, 5, e20246. [Google Scholar] [CrossRef]
- Ren, L.; Bennett, J.A.; Coulman, B.; Liu, J.; Biligetu, B. Forage yield trend of alfalfa cultivars in the Canadian prairies and its relation to environmental factors and harvest management. Grass Forage Sci. 2021, 76, 390–399. [Google Scholar] [CrossRef]
- Casler, M.D.; Vogel, K.P. Forage Breeding. In Forages: The Science of Grassland Agriculture; Moore, K.J., Collins, M., Nelson, C.J., Redfearn, D.D., Eds.; Publications from USDA-ARS/UNL Faculty; John Wiley & Sons Ltd.: Hoboken, NJ, USA, 2020; Volume II, pp. 553–567. Available online: https://digitalcommons.unl.edu/usdaarsfacpub/2482 (accessed on 22 December 2022).
- Annicchiarico, P.; Barrett, B.; Brummer, E.C.; Julier, B.; Marshall, A.H. Achievements and challenges in improving temperate perennial forage legumes. Crit. Rev. Plant Sci. 2015, 34, 327–380. [Google Scholar] [CrossRef]
- Acharya, J.P.; Lopez, Y.; Gouveia, B.T.; de Bem Oliveira, I.; Resende, M.F.R.; Muñoz, P.R.; Rios, E.F. Breeding alfalfa (Medicago sativa L.) adapted to subtropical agroecosystems. Agronomy 2020, 10, 742. [Google Scholar] [CrossRef]
- Annicchiarico, P.; Pecetti, L. Comparison among nine alfalfa breeding schemes based on actual biomass yield gains. Crop Sci. 2021, 61, 2355–2370. [Google Scholar] [CrossRef]
- Andrade, M.H.M.L.; Acharya, J.P.; Benevenuto, J.; de Bem Oliveira, I.; Lopez, Y.; Munoz, P.; Resende, M.F.R.; Rios, E.F. Genomic prediction for canopy height and dry matter yield in alfalfa using family bulks. Plant Genome 2022, 15, e20235. [Google Scholar] [CrossRef]
- Boelt, B.; Julier, B.; Karagic, D.; Hampton, J. Legume Seed Production Meeting Market Requirements and Economic Impacts. Crit. Rev. Plant Sci. 2015, 34, 412–427. [Google Scholar] [CrossRef]
- Ton, A.; Anlarsal, A.E. Possibilities Forage Legume Seed Production in Turkey commonly used in forage production. Univers. J. Agric. Res. 2017, 5, 280–283. [Google Scholar] [CrossRef] [Green Version]
- Ualiyeva, G.T.; Sagalbekov, U.M.; Baidalin, M.E.; Yancheva, H. Development of a Model, Selection and Evaluation of the Source Material for the Plant Breeding of Alfalfa Varieties with Increased Seed Productivity. Online J. Biol. Sci. 2022, 22, 139–148. [Google Scholar] [CrossRef]
- IRRI. Statistical Tool for Agricultural Research (STAR) Version: 2.0.1; International Rice Research Institute: Los Baños, Philippines, 2013. [Google Scholar]
- Cacan, E.; Kokten, K.; Seydosoglu, S. Determining the performance of alfalfa population collected from a narrow agroeceological zone of Turkey. Ciênc. Rural 2020, 50, e20190721. [Google Scholar] [CrossRef]
- Turan, N. Yield and quality performances of alfalfa (Medicago sativa) cultivars sown at various dates under sub-Mediterranean ecological conditions. Appl. Ecol. Environ. Res. 2019, 17, 15615–15631. [Google Scholar] [CrossRef]
- Milić, D.; Katanski, S.; Milošević, B.; Živanov, D. Variety selection in intensive alfalfa cutting management. Ratar. Povrt. 2019, 56, 20–25. [Google Scholar] [CrossRef]
- Avci, M.; Çinar, S.; Yucel, C.; Inal, I. Evaluation of some alfalfa (Medicago sativa L.) lines for herbage yield and forage quality. J. Food Agric. Environ. 2010, 8, 545–549. [Google Scholar]
- Song, Y.; Lee, S.H.; Park, H.S.; Woo, J.H.; Choi, B.R.; Lim, E.A.; Lee, K.W. Growth, Forage Production, and Quality of Medicago sativa in the Northern Part of South Korea. J. Food Nutr. Res. 2022, 10, 209–215. [Google Scholar] [CrossRef]
- Cavero, J.; Faci, M.; Medina, E.T.; Martínez-Cob, A. Alfalfa forage production under solid-set sprinkler irrigation in a semiarid climate. Agric. Water Manag. 2017, 191, 184–192. [Google Scholar] [CrossRef] [Green Version]
- Coruh, I.; Tan, M. Lucerne persistence, yield and quality as influenced by stand aging. New Zealand J. Agric. Res. 2008, 51, 39–43. [Google Scholar] [CrossRef]
- Sun, Y. Yield Evaluation of Seventeen Lucerne Cultivars in the Beijing Area of China. J. Agric. Sci. 2011, 3, 215–223. [Google Scholar] [CrossRef]
- Han, B.; Hu, T.; Yang, P.; Sun, W. Evaluation of eight alfalfa varieties for their production, quality, and persistence on the Loess Plateau. Aust. J. Crop Sci. 2013, 7, 1093–1099. [Google Scholar]
- Zhang, T.J.; Kang, J.M.; Guo, W.S.; Zhao, Z.X.; Xu, Y.P.; Yan, X.D.; Yang, Q.C. Yield Evaluation of Twenty-Eight Alfalfa Cultivars in Hebei Province of China. J. Integr. Agric. 2014, 13, 2260–2267. [Google Scholar] [CrossRef] [Green Version]
- Wang, S.; Fang, D.; Ameen, A.; Li, X.; Guo, K.; Liu, X.; Han, L. Dynamics of Spring Regrowth and Comparative Production Performance of 50 Autumn-Sown Alfalfa Cultivars in the Coastal Saline Soil of North China. Life 2021, 11, 1436. [Google Scholar] [CrossRef]
- Djaman, K.; Owen, C.; Koudahe, K.; O’Neill, M. Evaluation of Different Fall Dormancy-Rating Alfalfa Cultivars for Forage Yield in a Semiarid Environment. Agronomy 2020, 10, 146. [Google Scholar] [CrossRef] [Green Version]
- Yang, Q.J.; Zhou, H.; Sun, Y. Study on dry yield and protein of alfalfas in Beijing. Chin. Agric. Sci. Bull. 2005, 21, 50–52. [Google Scholar]
- Lu, W.H.; Yu, L. Study on growth rule and yield of different alfalfa cultivars in Xinjiang Oasis. Xinjiang Agric. Sci. 2006, 43, 16–20. [Google Scholar]
- Li, Y.; Su, D. Alfalfa water use and yield under different sprinkler irrigation regimes in north arid regions of China. Sustainability 2017, 9, 1380. [Google Scholar] [CrossRef] [Green Version]
- Jin, K.H.; Fen, L.Y.; Chan, J.E.; Farhad, A.; Geun, K.J. Effect of Cutting Height on Productivity and Forage Quality of Alfalfa in Alpine Area of Korea. J. Kor. Grassl. Forage. Sci. 2021, 41, 147–154. [Google Scholar] [CrossRef]
- Thivierge, M.; Jego, G.; Belanger, G.; Bertrand, A.; Tremblay, G.F.; Alan, R.C.; Qian, B. Predicted yield and nutritive value of an Alfalfa-Timothy mixture under climate change and elevated atmospheric carbon dioxide. Agronomy J. 2016, 108, 585–603. [Google Scholar] [CrossRef] [Green Version]
- Iannucci, A.; Di Fonzo, N.; Martiniello, P. Alfalfa (Medicago sativa L.) seed yield and quality under different forage management systems and irrigation treatments in a Mediterranean environment. Field Crops Res. 2002, 78, 65–74. [Google Scholar] [CrossRef]
- Karamanos, A.J.; Papastylianou, P.T.; Stavrou, J.; Avgoulas, C. Effects of water shortage and air temperature on seed yield and seed performance of lucerne (Medicago sativa L.) in a Mediterranean environment. J. Agron. Crop Sci. 2009, 195, 408–419. [Google Scholar] [CrossRef]
- Tucak, M.; Popović, S.; Čupić, T.; Krizmanić, G.; Meglič, V. Effects of Populations and Year on the Seed Yield of Alfalfa. In Proceedings & Abstracts of the 6th International Scientific/Professional Conference, “Agriculture in Nature and Environment Protection”, Vukovar, Croatia, 27–29 May 2013; Jug, I., Đurđević, B., Eds.; Glas Slavonije d.d.: Osijek, Croatia, 2013; pp. 79–84. [Google Scholar]
- Naydovich, V.A.; Popova, T.N. Effect of Meteorological Factors on the Seed Yield of Alfalfa in the Droughty Volga Region. Russ. Agricult. Sci. 2015, 41, 211–215. [Google Scholar] [CrossRef]
- Petkovic, B.; Przulj, N.; Radic, V.; Mirosavljevic, M. Comparative study of seed yield and seed quality of advanced lines and commercial varieties of red clover (Trifolium pratense L.). Legume Res. 2017, 40, 1066–1071. [Google Scholar] [CrossRef] [Green Version]
- Morante, M.C.; Lira, Z.C. Improvements in Alfalfa (Medicago sativa L.) Seed Production with Warming Climatic Conditions on the Northern Altiplano of La Paz, Bolivia. Adv. Crop Sci. Tech. 2018, 6, 337. [Google Scholar] [CrossRef]
- Zhang, W.; Liang, L.; Zhang, X.; Chen, J.; Wang, H.; Mao, P. Influence of alfalfa seed belts on yield component and seed yield in mainland China—A review. Legume Res. 2019, 42, 723–728. [Google Scholar] [CrossRef]
- Jing, S.; Boelt, B. Seed Production of Red Clover (Trifolium pratense L.) under Danish Field Conditions. Agriculture 2021, 11, 1289. [Google Scholar] [CrossRef]
Source of Variation | Degree of Freedom † | Green Mass Yield | Dry Matter Yield | Seed Yield | |||
---|---|---|---|---|---|---|---|
MS | F-Value | MS | F-Value | MS | F-Value | ||
Repetition | 3 | 191.63 | 0.12 ns | 7.12 | 0.15 ns | 2987.24 | 0.81 ns |
Year (Y) | 2 (1) | 59,665.83 | 3.60 ** | 2128.49 | 6.24 ** | 3,144,545.81 | 0.00035 ** |
Error year | 6 (3) | 65.90 | 2.82 | 9397.61 | |||
Population (P) | 19 | 82.00 | 2.82 ** | 2.32 | 0.0001 ** | 22,264.34 | 0.0228 * |
Y × P | 38 (19) | 17.61 | 0.67 ns | 0.72 | 0.61 ns | 10,375.16 | 0.616 |
Error | 171 (114) | 20.07 | 0.78 | 11,890.12 | |||
Total | 239 (159) | 527.03 | 18.83 | 32,436.00 |
Experimental Population | Green Mass Yield (t ha–1) | Dry Matter Yield (t ha–1) | ||||||
---|---|---|---|---|---|---|---|---|
2014 | 2015 | 2016 | Mean P | 2014 | 2015 | 2016 | Mean P | |
ABP 1 | 41.76 | 94.16 | 91.07 | 75.66 abcd | 8.94 | 18.02 | 18.73 | 15.23 ab |
ABP 2 | 40.74 | 86.48 | 87.62 | 71.62 ef | 8.46 | 16.75 | 17.62 | 14.28 de |
ABP 3 | 38.61 | 90.54 | 86.00 | 71.72 ef | 8.23 | 18.08 | 17.07 | 14.46 cd |
ABP 4 | 41.29 | 84.52 | 88.56 | 71.46 ef | 8.67 | 16.57 | 17.60 | 14.28 de |
ABP 5 | 40.99 | 88.71 | 87.62 | 72.44 de | 8.24 | 16.88 | 17.38 | 14.17 de |
ABP 6 | 38.84 | 85.42 | 80.98 | 68.41 f | 8.13 | 16.65 | 16.42 | 13.73 e |
ABP 7 | 38.91 | 87.49 | 88.97 | 71.79 ef | 7.96 | 16.96 | 17.85 | 14.26 de |
ABP 8 | 48.30 | 95.02 | 90.09 | 77.80 a | 9.93 | 18.09 | 17.80 | 15.27 ab |
ABP 9 | 40.42 | 90.71 | 89.16 | 73.43 cde | 8.17 | 16.60 | 17.34 | 14.03 de |
ABP 10 | 42.74 | 90.30 | 88.22 | 73.75 bcde | 8.76 | 17.22 | 17.39 | 14.46 cd |
ABP 11 | 42.68 | 88.10 | 84.79 | 71.86 ef | 8.55 | 16.76 | 17.38 | 14.23 de |
ABP 12 | 44.71 | 94.19 | 92.93 | 77.27 ab | 8.93 | 17.10 | 17.89 | 14.64 abcd |
ABP 13 | 40.51 | 91.97 | 85.66 | 72.71 cde | 8.06 | 18.43 | 17.21 | 14.57 bcd |
ABP 14 | 42.90 | 94.87 | 90.80 | 76.19 abc | 8.38 | 17.27 | 17.85 | 14.50 cd |
ABP 15 | 39.46 | 85.79 | 89.56 | 71.60 ef | 7.82 | 16.95 | 17.64 | 14.14 de |
ABP 16 | 41.80 | 87.13 | 91.75 | 73.56 cde | 8.24 | 16.96 | 18.00 | 14.40 de |
ABP 17 | 40.29 | 90.19 | 88.11 | 72.87 cde | 7.99 | 17.07 | 17.30 | 14.12 de |
ABP 18 | 47.47 | 96.40 | 88.89 | 77.59 a | 9.62 | 18.42 | 17.86 | 15.30 a |
ABP 19 | 46.74 | 94.61 | 92.80 | 78.05 a | 9.15 | 18.16 | 18.18 | 15.16 abc |
OS 66 | 43.51 | 88.13 | 88.28 | 73.31 cde | 8.47 | 17.32 | 17.90 | 14.56 bcd |
Mean Y | 42.13 b | 90.24 a | 88.59 a | 73.65 | 8.54 b | 17.31 a | 17.62 a | 14.49 |
LSD 0.05 | Year (Y): 3.14 **, Population (P): 3.61 ** Y × P: not significant, ** p ≤ 0.01 | Year (Y): 0.65 **, Population (P): 0.71 ** Y × P: not significant, ** p ≤ 0.01 |
Year | Cut | Date of Cutting | Mean Green Mass Yield (t ha–1) | Contribution of Cut in Total Annual Yield (%) |
---|---|---|---|---|
2014 | I | 20 June | 8.56 c | |
II | 21 July | 15.49 a | ||
III | 26 Aug. | 13.20 b | ||
IV | 13 Oct. | 4.88 d | ||
LSD 0.05 0.82 ** | ||||
Total annual yield | 42.13 | |||
2015 | I | 8 May | 26.11 a | |
II | 8 June | 17.59 b | ||
III | 7 July | 16.65 c | ||
IV | 12 Aug. | 10.51 e | ||
V | 14 Sept. | 13.03 d | ||
VI | 3 Nov. | 6.35 f | ||
LSD 0.05 0.85 ** | ||||
Total annual yield | 90.24 | |||
2016 | I | 9 May | 27.64 a | |
II | 9 June | 23.46 b | ||
III | 15 July | 15.26 c | ||
IV | 16 Aug. | 12.89 d | ||
V | 29 Sept. | 9.34 e | ||
LSD 0.05 1.11 ** | ||||
Total annual yield | 88.59 |
Experimental Population | Seed Yield (kg ha–1) | ||
---|---|---|---|
2017 | 2018 | Mean P | |
ABP 1 | 331.29 | 128.25 | 229.77 abcdef |
ABP 2 | 323.27 | 115.69 | 219.48 cdef |
ABP 3 | 416.78 | 68.57 | 242.68 abcdef |
ABP 4 | 518.52 | 126.32 | 322.42 abc |
ABP 5 | 457.94 | 135.06 | 296.50 abcd |
ABP 6 | 293.04 | 79.23 | 186.14 ef |
ABP 7 | 510.46 | 160.24 | 335.35 a |
ABP 8 | 491.79 | 127.38 | 309.58 abc |
ABP 9 | 203.27 | 98.29 | 150.78 f |
ABP 10 | 309.12 | 69.92 | 189.52 def |
ABP 11 | 353.78 | 105.80 | 229.79 abcdef |
ABP 12 | 361.54 | 86.21 | 223.88 bcdef |
ABP 13 | 333.48 | 107.23 | 220.36 cdef |
ABP 14 | 479.22 | 133.98 | 306.60 abc |
ABP 15 | 356.08 | 105.99 | 231.04 abcdef |
ABP 16 | 396.73 | 72.17 | 234.45 abcdef |
ABP 17 | 435.22 | 164.67 | 299.95 abc |
ABP 18 | 439.85 | 131.98 | 285.91 abcde |
ABP 19 | 510.20 | 147.75 | 328.98 ab |
OS 66 | 361.89 | 111.08 | 236.49 abcdef |
Mean Y | 394.17 a | 113.79 b | 253.98 |
LSD 0.05 | Year (Y): 48.77 **, Population (P): 108.00 * Y × P: not significant, ** p ≤ 0.01, * p ≤ 0.05 |
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Tucak, M.; Horvat, D.; Čupić, T.; Krizmanić, G.; Ravlić, M. Assessment of Alfalfa Populations for Forage Productivity and Seed Yield Potential under a Multi-Year Field Trial. Agronomy 2023, 13, 349. https://doi.org/10.3390/agronomy13020349
Tucak M, Horvat D, Čupić T, Krizmanić G, Ravlić M. Assessment of Alfalfa Populations for Forage Productivity and Seed Yield Potential under a Multi-Year Field Trial. Agronomy. 2023; 13(2):349. https://doi.org/10.3390/agronomy13020349
Chicago/Turabian StyleTucak, Marijana, Daniela Horvat, Tihomir Čupić, Goran Krizmanić, and Marija Ravlić. 2023. "Assessment of Alfalfa Populations for Forage Productivity and Seed Yield Potential under a Multi-Year Field Trial" Agronomy 13, no. 2: 349. https://doi.org/10.3390/agronomy13020349
APA StyleTucak, M., Horvat, D., Čupić, T., Krizmanić, G., & Ravlić, M. (2023). Assessment of Alfalfa Populations for Forage Productivity and Seed Yield Potential under a Multi-Year Field Trial. Agronomy, 13(2), 349. https://doi.org/10.3390/agronomy13020349