Payghamzadeh Kamal, Oghan Hassan Amiri
Horticulture Crops Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Postal Code: 4915677555, Iran.
Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Postal Code: 4119-31585, Iran.
Heliyon. 2024 Sep 28;10(19):e38632. doi: 10.1016/j.heliyon.2024.e38632. eCollection 2024 Oct 15.
Improving yield via assessment of different yield-related genetic parameters specifically with the challenges of yield × traits combination is a prominent issue for plant breeders. A graphical and numerical description of diallel analysis by yield × traits with the novelty of the parent selection with desirable genetic architecture in rapeseed was illustrated via Hayman and biplot approaches. Eleven divers' parents and their F offspring, achieved via a complete diallel mating fashion, were evaluated under field conditions based on randomized complete block design replicated thrice throught 2018-2020. Integrated yield × traits analysis revealed highly significant additive and non-additive gene effects which were confirmed by the meaningful general and specific combining ability of evaluated multi-traits. Graphical Wr-Vr analysis, depicted partial dominance gene action for yield × traits, except yield × thousand grain yield which is governed by over-dominance gene action.The biplot polygon panorama identified the most desirable heterotic parents with higher general and specific combining ability, and more dominant genes including [(P9) × (P4, P6, P10) for yield × pod]; [(P9) × (P7), (P6) × (P11) and (P7) × (P10) for yield × thousand grain yield] and [(P10 × P3) for yield/flowering, yield/physiological maturity, yield/plant height]. These findings suggested that a breeder should consider superior parents with high × high general and specific combining ability according to combining their yield and its related genetic parameters as important traits with all other target characters via descripted approaches.
通过评估不同的产量相关遗传参数来提高产量,特别是应对产量与性状组合的挑战,这对植物育种者来说是一个突出问题。通过Hayman和双标图方法,展示了产量与性状的双列分析的图形和数值描述,以及油菜中具有理想遗传结构的亲本选择的新颖性。通过完全双列交配方式获得的11个不同亲本及其F后代,于2018 - 2020年在田间条件下基于随机完全区组设计进行了三次重复评估。综合产量与性状分析揭示了高度显著的加性和非加性基因效应,这通过评估多性状的有意义的一般和特殊配合力得到了证实。图形Wr - Vr分析表明,除了千粒重受超显性基因作用控制外,产量与性状的基因作用表现为部分显性。双标图多边形全景图确定了具有较高一般和特殊配合力以及更多显性基因的最理想杂种优势亲本,包括[产量与荚果数方面的(P9)×(P4、P6、P10)];[产量与千粒重方面的(P9)×(P7)、(P6)×(P11)和(P7)×(P10)]以及[产量与开花期、产量与生理成熟期、产量与株高方面的(P10×P3)]。这些发现表明,育种者应根据所描述的方法,将产量及其相关遗传参数与所有其他目标性状相结合,考虑具有高高一般和特殊配合力的优良亲本。