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Biometric Analyses of Yield, Oil and Protein Contents of Wheat (Triticum aestivum L.) Genotypes in Different Environments
The objectives of this study were to investigate: (1) the effects of genotype, environment, and their interactions on the oil content (OC), protein content (PC) and grain yield (GY) of 25 varieties of winter wheat, (2) the correlations among these traits in different environments, and (3) the effect...
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Published in: | Agronomy (Basel) 2019, Vol.9 (6), p.270 |
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creator | Kondić-Špika, Ankica Mladenov, Novica Grahovac, Nada Zorić, Miroslav Mikić, Sanja Trkulja, Dragana Marjanović-Jeromela, Ana Miladinović, Dragana Hristov, Nikola |
description | The objectives of this study were to investigate: (1) the effects of genotype, environment, and their interactions on the oil content (OC), protein content (PC) and grain yield (GY) of 25 varieties of winter wheat, (2) the correlations among these traits in different environments, and (3) the effects of different climatic variables and their interactions with wheat genotypes for the examined traits. The field experiments were performed on three experimental sites in Serbia in 2009/10 and 2010/11. The most variable traits were GY and PC, while the variations of OC were lower. A significant positive correlation between wheat bran OC and GY was found in one, while highly significant negative correlations between PC and GY were found in three out of six environments. The partial least square regression (PLSR) triplots for protein content, oil content and grain yield enabled us to identify favorable and limiting climatic conditions for each trait and explained 31.9%, 32.6%, and 30.4% of the total variance, respectively. Cvs. Renesansa and Zvezdana were identified as genotypes with high average values for all traits, while cvs. Bankuty 1205 and Banatka were identified as potential sources of high protein content. |
doi_str_mv | 10.3390/agronomy9060270 |
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The field experiments were performed on three experimental sites in Serbia in 2009/10 and 2010/11. The most variable traits were GY and PC, while the variations of OC were lower. A significant positive correlation between wheat bran OC and GY was found in one, while highly significant negative correlations between PC and GY were found in three out of six environments. The partial least square regression (PLSR) triplots for protein content, oil content and grain yield enabled us to identify favorable and limiting climatic conditions for each trait and explained 31.9%, 32.6%, and 30.4% of the total variance, respectively. Cvs. Renesansa and Zvezdana were identified as genotypes with high average values for all traits, while cvs. Bankuty 1205 and Banatka were identified as potential sources of high protein content.</description><identifier>ISSN: 2073-4395</identifier><identifier>EISSN: 2073-4395</identifier><identifier>DOI: 10.3390/agronomy9060270</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural production ; Altitude ; Climate change ; Climate effects ; Climatic conditions ; climatic variables ; Correlation ; Crop yield ; Cultivars ; Dietary fiber ; Field tests ; Flour ; Genotype & phenotype ; Genotypes ; Grain ; G×E interaction ; Laboratories ; Moisture content ; Nitrogen ; Oil ; Phytochemicals ; Precipitation ; Proteins ; Seasons ; Triticum aestivum ; Variables ; Wheat ; Wheat bran ; Winter wheat ; yield</subject><ispartof>Agronomy (Basel), 2019, Vol.9 (6), p.270</ispartof><rights>2019 by the authors. Licensee MDPI, Basel, Switzerland. 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Genotypes in Different Environments</title><title>Agronomy (Basel)</title><description>The objectives of this study were to investigate: (1) the effects of genotype, environment, and their interactions on the oil content (OC), protein content (PC) and grain yield (GY) of 25 varieties of winter wheat, (2) the correlations among these traits in different environments, and (3) the effects of different climatic variables and their interactions with wheat genotypes for the examined traits. The field experiments were performed on three experimental sites in Serbia in 2009/10 and 2010/11. The most variable traits were GY and PC, while the variations of OC were lower. A significant positive correlation between wheat bran OC and GY was found in one, while highly significant negative correlations between PC and GY were found in three out of six environments. The partial least square regression (PLSR) triplots for protein content, oil content and grain yield enabled us to identify favorable and limiting climatic conditions for each trait and explained 31.9%, 32.6%, and 30.4% of the total variance, respectively. 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A significant positive correlation between wheat bran OC and GY was found in one, while highly significant negative correlations between PC and GY were found in three out of six environments. The partial least square regression (PLSR) triplots for protein content, oil content and grain yield enabled us to identify favorable and limiting climatic conditions for each trait and explained 31.9%, 32.6%, and 30.4% of the total variance, respectively. Cvs. Renesansa and Zvezdana were identified as genotypes with high average values for all traits, while cvs. Bankuty 1205 and Banatka were identified as potential sources of high protein content.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/agronomy9060270</doi><orcidid>https://orcid.org/0000-0001-9555-9162</orcidid><orcidid>https://orcid.org/0000-0002-4215-453X</orcidid><orcidid>https://orcid.org/0000-0003-3298-6620</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural production Altitude Climate change Climate effects Climatic conditions climatic variables Correlation Crop yield Cultivars Dietary fiber Field tests Flour Genotype & phenotype Genotypes Grain G×E interaction Laboratories Moisture content Nitrogen Oil Phytochemicals Precipitation Proteins Seasons Triticum aestivum Variables Wheat Wheat bran Winter wheat yield |
title | Biometric Analyses of Yield, Oil and Protein Contents of Wheat (Triticum aestivum L.) Genotypes in Different Environments |
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