Correlations between grain yield and related traits in winter wheat under multi-environmental traits

  1. Tsenov1*, T. Gubatov1, I. Yanchev2

 

1Department of Wheat Breeding and Technology, Agronom Breeding Company, 9300 Dobrich, Bulgaria

2Department of Plant Science, Faculty of Agronomy, Agricultural University, 4000 Plovdiv, Bulgaria

(Manuscript received 7 August 2020; accepted for publication 29 October 2020)

Abstract. In a series of field trials, a database of quantitative traits associated with winter wheat grain yield has been collected. The aim of the present study is to determine the relationships between the winter wheat (Triticum aestivum L.) traits of productivity in environments causing the maximum possible variation of each of the traits. In order to determine the correlations between the quantitative characters studied, all possible statistical methods have been applied (regression analysis, PCA, Multiple Correspondence analysis), which complement each other. It was found that the nature of the correlations between traits depends to a large extent on the methods for their evaluation. There are high and significant correlations between grain yields and the grain number per spike (weight of grain per spike and number of grains per m2) even under strong genotype by environment interaction of all the traits in trails. The established results are related to possible options for increasing winter wheat grain yield by breeding.

Genotype x environment interaction analysis of Triticum aestivum L. for yield components

İ. Öztürk1*, K.Z. Korkut2

1Trakia Agricultural Research Institute, Edirne, Turkey
2 Department of Field Crops, Faculty of Agriculture, Namık Kemal University, Tekirdağ, Turkey

(Manuscript received 5 December 2019; accepted for publication 26 February 2020)

Abstract. Genotypes performance changes due to environmental pressures or stresses and differences in their ability to adapt to the stress factors. Drought is the main abiotic stress factor affecting bread wheat yield and yield component. The experiment was carried out in the experimental field of Trakia Agricultural Research Institute, Edirne (Turkey), in 2008-2009 and 2009-2010, and 15 wheat genotypes were planted in RCBD in a split-plot with three replications. The main plots were assigned to five moisture regimes, which included 3 drought stress environments, one non-stress and one non-treatment environment. Principal component analysis (PCA) and cluster analysis were used to determine genotypes environment interaction. Grain yield, biological yield, harvest index, spike number per square meter, kernel and spikelet number per spike, length of spike and plant height were investigated. PCA indicated that the first (46.31%) and second (25.32%) components justified 71.63% of variations in the investigated yield parameters of the genotypes. Based on GGE biplot results, Kate A-1 and Tekirdağ genotypes were determined as the most stable cultivars for grain yield. Mean values of the genotypes varied between 3830-6583 kg ha-1 for grain yield, 20170-25394 kg ha-1 for biological yield, 68.6-110.9cm for plant height, 30.2-38.3 for kernel number in spike, 328.8-486.6 for spike number per square meter and 6.57-9.17cm for spike length. Clusters I and II were more clearly separated. In the first group of clusters 6 genotypes are located including one line and five cultivars. In the second group of clusters 8 genotypes are located including five advanced lines and four cultivars.