Haryana Agricultural University, Hissar, India.
Theor Appl Genet. 1977 Jul;49(4):153-6. doi: 10.1007/BF00290751.
Four different sets of partial diallels were analysed for their relative efficiencies for estimating the genetic parameters in barley: (1) partial diallel with 12 parents, each involved in only 5 crosses; (2) partial diallel with 12 parents, each involved in only 3 crosses; (3) partial diallel with 8 parents, each involved in only 5 crosses; and (4) partial diallel with 8 parents, each involved in only 3 crosses. In partial diallel experiments, the estimates of gca effects were higher than in those of full diallel. Ranking pattern of the parents on the basis of gca effects in partial diallels deviated considerably from the ranking in full diallel. With decreasing "s" per parent, the deviation in ranking was also more. This clearly suggests the unsuitability of partial diallel analysis for screening high general combiners. Selection of best cross combinations is also not possible because only a sample of crosses (s out of n) is analysed under partial diallel so that there is every possibility of the best cross being excluded from the sample. In general, overdominance was exhibited, indicating that there is ample scope for heterosis breeding in barley.
四种不同的不完全双列杂交设计被分析,以评估其在大麦遗传参数估计中的相对效率:(1)包含 12 个亲本的不完全双列杂交设计,每个亲本仅参与 5 个杂交;(2)包含 12 个亲本的不完全双列杂交设计,每个亲本仅参与 3 个杂交;(3)包含 8 个亲本的不完全双列杂交设计,每个亲本仅参与 5 个杂交;(4)包含 8 个亲本的不完全双列杂交设计,每个亲本仅参与 3 个杂交。在不完全双列杂交试验中,gca 效应的估计值高于完全双列杂交。基于不完全双列杂交 gca 效应的亲本排名模式与完全双列杂交有很大差异。随着每个亲本“s”的减少,排名的偏差也越大。这清楚地表明,不完全双列分析不适合筛选高一般组合体。也不可能选择最佳的杂交组合,因为不完全双列分析仅分析了交叉组合的一个样本(s 个中的 n 个),因此最好的交叉组合很可能被排除在样本之外。总体而言,表现出超显性,表明大麦杂种优势育种有很大的潜力。