Quantitative trait locus mapping of yield and plant height in autotetraploid alfalfa (Medicago sativa L.)

He, Fei; Long, Ruicai; Zhang, Tiejun; Zhang, Fan; Wang, Zhen; Yang, Xijiang; Jiang, Xueqian; Yang, Ching Hong; Zhi, Xuxin; Li, Mingna; Yu, Long‐Xi; Yang, Qingchuan

doi:10.1016/j.cj.2020.05.003

Cited by 11 publications

(10 citation statements)

References 31 publications

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“…Various traits are considered crucial in an alfalfa breeding: dry matter yield (DMY), forage nutritive value, canopy height (CH), fall dormancy, persistence, and resistance to biotic and abiotic stresses (Acharya et al., 2020; Hawkins & Yu, 2018; He et al., 2020). Fall dormancy is a key trait for alfalfa adaptation to different environmental conditions (Ventroni et al., 2010).…”

Section: Introductionmentioning

confidence: 99%

Genomic prediction for canopy height and dry matter yield in alfalfa using family bulks

et al. 2022

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Genomic selection (GS) has proven to be an effective method to increase genetic gain rates and accelerate breeding cycles in many crop species. However, its implementation requires large investments to phenotype of the training population and for routine genotyping. Alfalfa (Medicago sativa L.) is one of the major cultivated forage legumes, showing high‐quality nutritional value. Alfalfa breeding is usually carried out by phenotypic recurrent selection and is commonly done at the family level. The application of GS in alfalfa could be simplified and less costly by genotyping and phenotyping families in bulks. For this study, an alfalfa reference population composed of 142 full‐sib and 35 half‐sib families was bulk‐genotyped using target enrichment sequencing and phenotyped for dry matter yield (DMY) and canopy height (CH) in Florida, USA. Genotyping of the family bulks with 17,707 targeted probes resulted in 114,945 single‐nucleotide polymorphisms. The markers revealed a population structure that matched the mating design, and the linkage disequilibrium slowly decayed in this breeding population. After exploring multiple prediction scenarios, a strategy was proposed including data from multiple harvests and accounting for the G×E in the training population, which led to a higher predictive ability of up to 38 and 24% for DMY and CH, respectively. Although this study focused on the implementation of GS in alfalfa families, the bulk methodology and the prediction schemes used herein could guide future studies in alfalfa and other crops bred in bulks.

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Section: Introductionmentioning

confidence: 99%

Genomic prediction for canopy height and dry matter yield in alfalfa using family bulks

et al. 2022

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“…Agronomic traits such as RSL, ST, FW, TFW, PH, NS, RDF, DW, and TDW are key indicators used to evaluate both the quality (Bhattarai et al, 2020;Jia et al, 2022;Sayed et al, 2022) and productivity of alfalfa varieties (Singer et al, 2017). However, previous studies on alfalfa have primarily focused on agronomic traits in a single place or year (Tucak et al, 2008;Inostroza et al, 2021) as well as the development of simple sequence repeat primers (Flajoulot et al, 2005;He et al, 2020) and transcriptome analysis (Chen et al, 2011;Liu et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Effect of genotype and environment on agronomical characters of alfalfa (Medicago sativa L.) in a typical acidic soil environment in southwest China

Tian

Yang²,

Lu³

et al. 2023

Front. Sustain. Food Syst.

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Alfalfa (Medicago sativa L.), an important perennial legume forage crop with high nutritional value and forage yield, is widely used in animal husbandry. However, it is very sensitive to aluminum, which severely limits its growth in acidic soils. In this study, we analyzed the genotype variation of each agronomic trait in 44 alfalfa varieties in two acidic soil environments. Then, analysis of variance (ANOVA) of the variance components was performed using the Residual Maximum Likelihood (REML). The best linear unbiased predictor analysis was used to obtain the mean trait of each variety, and the mean values were used to construct the mean matrix of varieties × traits and interaction analysis of varieties × years. The results showed that there was significant (P < 0.05) genotypic variation for each trait of the 44 varieties and the genetic diversity was abundant. The average repeatability (R value) of interannual plant height (PH), stem thickness (ST), number of branches (NS), fresh weight (FW), total fresh weight (TFW), and total dry weight (TDW) was high (0.21–0.34), whereas the genetics were relatively stable. PH, NS, FW, TFW, and dry weight (DW) were positively correlated (P < 0.01) with TDW. Six alfalfa varieties (Algonquin, Xinjiang daye, Trifecta, Vernal, WL354HQ, and Boja) with excellent TDW and TFW were identified in different years, environmental regions, and climatic altitudes. Our research results can provide suggestions and critical information regarding the future improvement and development of new alfalfa strains and varieties that are resistant to acidic soil conditions.

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“…The height of alfalfa could positively correlate with the yield (Lyons et al, 2016) and even the forage quality (Owens et al, 1995) and therefore, it has been used to estimate yield or forage quality characteristics by many researchers (Ventroni et al, 2010;Noland et al, 2018). Height is mainly characterized by genetic factors (He et al, 2020) but environmental factors might have a substantial effect on the height of alfalfa (Jia et al, 2022). Besides, Cui et al (2021) determined that the height of alfalfa decreased with the advancing years of the plantation.…”

Section: Plant Heightmentioning

confidence: 99%

Irrigation and Phosphorus Management of Alfalfa Under Semi-Arid Conditions

ERKOVAN

İleri

Erkovan

et al. 2022

Turkish Journal of Field Crops

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The frequency of irrigation and deficit irrigation management are drawing attention because water resources are becoming limited year by year, especially in the last decade. Besides, the rate and application time of P fertilization gained more importance just after the researchers found out it is more effective than N-fertilizing for alfalfa cultivation. This study aimed to determine the effects of different irrigation managements (seasonal deficit, intervals of 5, 7, and 9 days), phosphorus application season (autumn and spring), and the rate of P fertilizer (0, 30, 60, 90 kg ha-1) on the yield and forage quality of alfalfa. The experiment was conducted in the 2019-2020 years, which was the 3rd and the 4th years of alfalfa respectively, under semi-arid Mediterranean conditions. The stand height and fiber content (NDF) were higher in the autumn application. However, forage contained more nitrogen in the spring application. A higher amount of water (800 mm) with higher irrigation frequency (5 days – I5d) caused a reduction in yield due to water excess. The yield was the highest (21.34 t ha-1) and the forage quality was better in 448 mm water application with 9 days intervals (I9d). Seasonal deficit water management caused a significant loss in yield and quality. Nevertheless, 18.04 t ha-1 dry matter yield with 24.05 % CP content was recorded at seasonal deficit water management. P fertilization increased the yield and forage quality. The yield was the highest (20.23 t ha-1) at the rate of 90 kg ha-1 P fertilizer, but yield and forage quality characteristics were similar between 30, 60, and 90 kg ha-1 P. The results showed that P fertilization could be done in both autumn and spring at the rate of 30 kg ha-1 and 448 mm water could be applied at 9 days intervals for fulfilling performance under semi-arid Mediterranean conditions. When water resources are very scarce, the seasonal water deficit should be applied, especially in late summer.

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Quantitative trait locus mapping of yield and plant height in autotetraploid alfalfa (Medicago sativa L.)

Cited by 11 publications

References 31 publications

Genomic prediction for canopy height and dry matter yield in alfalfa using family bulks

Genomic prediction for canopy height and dry matter yield in alfalfa using family bulks

Effect of genotype and environment on agronomical characters of alfalfa (Medicago sativa L.) in a typical acidic soil environment in southwest China

Irrigation and Phosphorus Management of Alfalfa Under Semi-Arid Conditions

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