Selection of high-yielding, adapted and stable wheat lines in preliminary trials

Abstract

Experimental design without replication, such as Federer's augmented block design, allows us to determine productivity, adaptability and stability in multi-environment trials. This work aimed to select productive wheat lines with high adaptability and stability in preliminary trials. The grain yield of 140 homozygous wheat lines was measured in 2015 at three locations. The cultivar TBIO Mestre was used as a check. Genetic parameters were evaluated by mixed models, and selection was based on the harmonic mean of the relative performance of the genetic values (HMRPGV) using models 74 (individual analysis) and 75 (joint analysis) of Selegen software. In the joint analysis, 33 wheat lines stood out in terms of productivity, adaptability and stability. These lines have the potential to be evaluated in Value for Cultivation and Use (VCU) trials for future release of new wheat cultivars.

Choosing parent tropical wheat genotypes through genetic dissimilarity based on REML/BLUP

“…Cultivars from private companies produced the lowest SM genotypic values; however, this same pattern was not observed for GY ( Figure 1E), superior to the new elite lines (Woyann et al 2019). The TBIO Aton cultivar, which produced the third lowest SM genotypic value, presented the highest BLUP predicted for GY, at 5083.8 kg ha -1 ( Figure 1G).…”

Effect of selection response for yield related traits in early and later generations of groundnut (Arachis hypogaea L.)

“…Information on the frequency distribution of different traits will help in identifying plants with the desirable expression of a particular trait under selection (Dinesh et al 2018). Breeding for high yield is the main objective of any crop improvement program (Woyann et al 2019). Since yield is polygenically controlled and highly influenced by the environment (Santos et al 2014), selection based on yield alone may not be effective.…”

Genetic parameters and multiple-trait selection in wheat genotypes

“…In this context, one of the most appropriate selection procedures involves the estimation of variance components (i.e., restricted maximum likelihood -REML) and the prediction of genotypic values (i.e., best linear unbiased prediction -BLUP) (Resende 2007). Accordingly, plant breeding studies use these methods, such as for white oat (Avena sativa L.; Olivoto et al 2019), soybean (Glycine max L.; Follmann et al 2019), bean (Phaseolus vulgaris L.; Santos et al 2019) and corn (Zea mays L.; Olivoto et al 2017), as well as in early-segregating generations of wheat (Pimentel et al 2014, Woyann et al 2019b.…”