Abstract
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.
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Claims 9
Claim · model-written summary
Oil content and grain yield were positively correlated in one environment.
- Taxon
- Wheat
Triticum aestivumt0 - Outcome
- wheat bran OC and GYe1
- Direction
- positivee1
- Qualifier
- in onee1
- Setting
- Serbiae2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Wheat (Triticum aestivum L.)”
e1“A significant positive correlation between wheat bran OC and GY was found in one”
e2“The field experiments were performed on three experimental sites in Serbia”
Claim · model-written summary
Protein content and grain yield were highly significantly negatively correlated in three of six environments.
- Taxon
- WheatTriticum aestivumt0
- Outcome
- PC and GYe2
- Direction
- negativee2
- Qualifier
- in three out of six environmentse2
- Setting
- Serbiae3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Wheat (Triticum aestivum L.)”
e2“highly significant negative correlations between PC and GY were found in three out of six environments”
e3“The field experiments were performed on three experimental sites in Serbia”
Claim · model-written summary
Grain yield and protein content were the most variable traits, with oil content less variable.
- Taxon
- WheatTriticum aestivumt0
- Outcome
- most variable traitse3
- Qualifier
- GY and PCe3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Wheat (Triticum aestivum L.)”
e3“The most variable traits were GY and PC”
Claim · model-written summary
The PLSR triplot for protein content explained 31.9% of the total variance.
- Taxon
- WheatTriticum aestivumt0
- Outcome
- total variancee4
- Value
- 31.9%e4
- Qualifier
- protein contente5
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Wheat (Triticum aestivum L.)”
e4“explained 31.9%, 32.6%, and 30.4% of the total variance”
e5“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”
Claim · model-written summary
The PLSR triplot for oil content explained 32.6% of the total variance.
- Taxon
- WheatTriticum aestivumt0
- Outcome
- total variancee4
- Value
- 32.6%e4
- Qualifier
- oil contente5
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Wheat (Triticum aestivum L.)”
e4“explained 31.9%, 32.6%, and 30.4% of the total variance”
e5“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”
Claim · model-written summary
The PLSR triplot for grain yield explained 30.4% of the total variance.
- Taxon
- WheatTriticum aestivumt0
- Outcome
- total variancee4
- Value
- 30.4%e4
- Qualifier
- grain yielde5
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Wheat (Triticum aestivum L.)”
e4“explained 31.9%, 32.6%, and 30.4% of the total variance”
e5“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”
Claim · model-written summary
PLSR triplots identified favorable and limiting climatic conditions for each trait of winter wheat.
- Taxon
- WheatTriticum aestivumt0
- Outcome
- favorable and limiting climatic conditionse5
- Qualifier
- for each traite5
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Wheat (Triticum aestivum L.)”
e5“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”
Claim · model-written summary
Cultivars Renesansa and Zvezdana had high average values for all traits.
- Taxon
- WheatTriticum aestivumt0
- Material
- Renesansa and Zvezdanae6
- Outcome
- high average values for all traitse6
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Wheat (Triticum aestivum L.)”
e6“Cvs. Renesansa and Zvezdana were identified as genotypes with high average values for all traits”
Claim · model-written summary
Cultivars Bankuty 1205 and Banatka are potential sources of high protein content.
- Taxon
- WheatTriticum aestivumt0
- Material
- Bankuty 1205 and Banatkae7
- Outcome
- high protein contente7
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Wheat (Triticum aestivum L.)”
e7“cvs. Bankuty 1205 and Banatka were identified as potential sources of high protein content”