Thapa Sittal, Garg Tosh, Ranjan Rumesh, Singh Gagandeep, Vikal Yogesh
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India.
Sci Rep. 2025 Jan 21;15(1):2600. doi: 10.1038/s41598-025-86886-z.
Waterlogging (WL) is an important abiotic stress, severely affecting plant growth and development, inhibiting root respiration and degradation of chlorophyll, senescence of leaves and chlorosis leading to substantial yield loss. These intensities of yield losses generally depend on the duration of WL and crop growth stages. Maize being a dry land crop is particularly sensitive to WL. Systematic screening techniques to identify parameters linked with tolerance are not well established which serves as a major bottleneck in the identification of promising genotypes. In this study, 120 maize inbred lines belonging to diverse genetic backgrounds were evaluated for WL tolerance both at pre-emergence as well as the seedling stage. Results based on percentage germination at pre-emergence and percentage survival at the seedling stage under WL established that pre-germination tolerance is independent of seedling stage tolerance. Membership function value based on WL tolerance coefficient of shoot and root fresh weights, dry weights, lengths, root surface area, shoot area and root volume was used to identify tolerant lines. Established mathematical models were used and identified root dry weight as a single reliable parameter to judge the tolerance level of genotypes. The use of BLPSI and ESIM selection indices as well as MTSI to judge the stability as well as genetic worth of genotypes further strengthens the selection efficiency. Lines thus performing best across all the models included I 185, I 172 and SE 503 and were identified as tolerant lines for WL. A combination of these different selection approaches would further strengthen selection efficiency and is believed to be a rapid and effective selection approach.
涝害是一种重要的非生物胁迫，严重影响植物的生长发育，抑制根系呼吸和叶绿素降解，导致叶片衰老和黄化，从而造成大幅减产。这些产量损失的程度通常取决于涝害的持续时间和作物生长阶段。玉米作为旱地作物，对涝害尤为敏感。目前尚未建立系统的筛选技术来确定与耐受性相关的参数，这成为鉴定有潜力基因型的主要瓶颈。在本研究中，对120个遗传背景各异的玉米自交系在出苗前和幼苗期的耐涝性进行了评估。基于出苗前的发芽率和涝害条件下幼苗期的存活率结果表明，发芽前的耐受性与幼苗期的耐受性无关。基于地上部和根部鲜重、干重、长度、根表面积、地上部面积和根体积的耐涝系数的隶属函数值用于鉴定耐性品系。使用已建立的数学模型，确定根干重是判断基因型耐受水平的单一可靠参数。使用BLPSI和ESIM选择指数以及MTSI来判断基因型的稳定性和遗传价值，进一步提高了选择效率。在所有模型中表现最佳的品系包括I 185、I 172和SE 503，被鉴定为耐涝品系。这些不同选择方法的组合将进一步提高选择效率，被认为是一种快速有效的选择方法。
