2022
DOI: 10.3389/fpls.2022.996672
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Identification of QTL and candidate genes associated with biomass yield and Feed Quality in response to water deficit in alfalfa (Medicago sativa L.) using linkage mapping and RNA-Seq

Abstract: Biomass yield and Feed Quality are the most important traits in alfalfa (Medicago sativa L.), which directly affect its economic value. Drought stress is one of the main limiting factors affecting alfalfa production worldwide. However, the genetic and especially the molecular mechanisms for drought tolerance in alfalfa are poorly understood. In this study, linkage mapping was performed in an F1 population by combining 12 phenotypic data (biomass yield, plant height, and 10 Feed Quality-related traits). A total… Show more

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Cited by 2 publications
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“…It is imperative to establish a proper framework for the irrigation techniques tailored to specific crops and purposes, whether the crop is grown for forage, grains, or fiber ( Chen et al., 2020 ). It is very necessary to manage properly the irrigation water for crop production and forage quality ( Jiang et al., 2022 ; Xu et al., 2022 ). Developing proper water use strategy for the vegetation and forage production, especially under the deficit irrigation ( Li et al., 2018 ; El Mouttaqi et al., 2023 ), is essential to improve the forage quality and ensure sustainable vegetation production ( Fu et al., 2022 ).…”
Section: Introductionmentioning
confidence: 99%
“…It is imperative to establish a proper framework for the irrigation techniques tailored to specific crops and purposes, whether the crop is grown for forage, grains, or fiber ( Chen et al., 2020 ). It is very necessary to manage properly the irrigation water for crop production and forage quality ( Jiang et al., 2022 ; Xu et al., 2022 ). Developing proper water use strategy for the vegetation and forage production, especially under the deficit irrigation ( Li et al., 2018 ; El Mouttaqi et al., 2023 ), is essential to improve the forage quality and ensure sustainable vegetation production ( Fu et al., 2022 ).…”
Section: Introductionmentioning
confidence: 99%