Genetic variation and interrelationships of agronomic characteristics in durum wheat under two constructing water regimes

Talebi, Reza; Fayyaz, Farzad; Naji, Amir Mohammad

doi:10.1590/s1516-89132010000400006

Cited by 15 publications

(10 citation statements)

References 15 publications

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“…The number of grains/spike shows genetically positive correlation but not significant with harvest index, grain yield, biomass yield and 1000 grain weight, while the genetic correlation between 1000 grain weight and harvest index, grain yield and biomass yield is positive and significant, as well as among grain yield, biomass yield and harvest index. It is noted here also appears positive genetic correlation between grain yield and its components and the same ingredients except for the negative and weak genetic correlation between the numbers of spikes / m 2 and 1000 grain weight, that is in agree with (Sinha et al, 1984, Ali, 1995, Ozkan et al, 1997, Nofouzi et al, 2008and Talebi et al, 2011. These results in terms of the positive genetic correlation between grain yield and many traits that have direct relevance to its components like biomass yield and harvest index an important indicator of the reliability of the selection for high grain yield on any of these traits.…”

Section: Matereals and Methodessupporting

confidence: 90%

Heritability, Variability, Genetic Correlation and Path Analysis for Quantitative Traits in Durum and Bread Wheat Under Dry Farming Conditions

Ali¹

2012

Mesopotamia Journal of Agriculture

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Two field experiments were carried out during the 2009-2010 growing season at the station of Directorate of Agricultural Researches/Erbil under dry farming conditions. The first experiment included 25 strains of durum wheat, and the second included 20 strains of bread wheat. Growth trait, yield and its components were studied, and then data are entered in the statistical genetic analysis, as well as the path coefficient analysis. The results showed high genetic variation, heritability and genetic advance for plant height, number of spikes, 1000 grain weight, biological yield and grain yield in durum wheat. While it was high in all traits in bread wheat. The grain yield was correlated genetically positive and significantly with 1000 grain weight, biological yield and harvest index in durum wheat, while showed genetically positive and significant correlation with all traits in bread wheat. The path coefficient analysis revealed that harvest index and biological yield had the maximum positive direct effects on grain yield in durum wheat reached 0.966 and 0.242, respectively. While the harvest index had the maximum positive direct effect (1.417) on grain yield in bread wheat, which was used as a criterion for the selection of superior genotypes in each group.

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Section: Matereals and Methodessupporting

confidence: 90%

Heritability, Variability, Genetic Correlation and Path Analysis for Quantitative Traits in Durum and Bread Wheat Under Dry Farming Conditions

Ali¹

2012

Mesopotamia Journal of Agriculture

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“…Correlation path analysis has been used to describe the direct and indirect relationships between yield and a set of variables. Some reports suggest that variation in moisture regimes caused different responses of direct and indirect effects of variables on yield (Destro et al 2001, Talebi et al 2010, Ebrahimiyan et al 2012. No other report in this respect was found in grasses.…”

Section: Discussionmentioning

confidence: 99%

Productivity, persistence and traits related to drought tolerance in smooth bromegrass

et al. 2017

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This study was conducted to evaluate drought tolerance and persistence in a germplasm of smooth bromegrass and association of forage productivity with different traits. Thirty‐six genotypes of smooth bromegrass were clonally propagated and evaluated under two soil moisture environments for three years (2013–2015). High genotypic variation was observed among genotypes for all the measured traits. Drought stress decreased mean values for traits related to productivity. Also, the long‐term stress for three years reduced the persistence of plants. Results indicated that indirect selection based on components of forage yield, which had high heritability and high correlation with yield, would be more effective to improve drought tolerance in this germplasm. The results of principal component analysis showed that there was a negative relationship between phenological traits with the persistence‐related traits and yield production. This suggests that selection for earliness may indirectly promote persistent genotypes. The results showed that some Hungarian genotypes are valuable gene sources for persistence. The most persistent genotypes from both groups (Iranian and foreign) were identified using the biplot method. These genotypes may be useful for the development of populations for future studies.

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“…The NL is a parameter that determines the photosynthetic efficiency of a plant and consequently its performance on SY. However, it is influenced by several factors including the environment (Talebi et al, 2010;Mbarek et al, 2012;Chandel et al 2014;Mbah and Eke-Okoro, 2015). Furthermore, NP is one of the most important yield parameters that determine the number of seeds per plant.…”

Section: Discussionmentioning

confidence: 99%

Correlations between Growth and Yield Parameters of Soybean (Glycine max (L.) Merr.) under the Influence of Bradyrhizobium japonicum in Kipushi (The Democratic Republic of Congo)

Kasu-Bandi¹,

Kidinda²,

Kasendue³

et al. 2019

American Journal of Agricultural and Biological Sciences

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This study aimed to evaluate the correlations between different agronomic parameters and their contribution to soybean performance under Bradyrhizobium japonicum influence. The experiment was carried out at Kanyameshi (Kipushi), following a Split Plot design, with three strains of Bradyrhizobium japonicum (GraphExTM, Bradyrhizobium sp and Sojapak ® 50) and four soybean varieties (TGX 1740-7F: V1, PAN 1867: V2, TGX 1880-3E: V3 and LUKANGA: V4). The strongest correlations were obtained between fresh biomass and plant height, the number of stems and collar diameter, fresh biomass and collar diameter, number of stems and plant height, number of roots and number of stems, fresh biomass and number of roots, number of pods and number of leaves. The collar diameter is the most positively correlated parameter with both growth and soybean yield parameters. While lifting rate, collar diameter, plant height, number of stems, number of leaves, fresh biomass, number of nodules and number of pods are the most linked to soybean grain yield. A significant negative correlation was observed between number of leaves and the weight of 100g. Fresh biomass was found to be more predictable, whereas number of leaves is the growth parameter that contributes most to soybean fresh biomass. Based on their decreasing contribution to fresh biomass, the various parameters can be classified as follows: Number of leaves>number of root>plant height> collar diameter. Among examined agronomic parameters, only four contribute directly to the soybean yield, namely number of leaves, number of pods, fresh biomass and collar diameter. By applying Bradyrhizobium japonicum to the four soybean varieties, the correlations between observed parameters were enhanced. This study is a major contribution in the conduct of soybean cultivation as it identified the parameters on which the farmer should focus to maximize soybean grain yield.

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Genetic variation and interrelationships of agronomic characteristics in durum wheat under two constructing water regimes

Abstract: ABSTRACT

Cited by 15 publications

References 15 publications

Heritability, Variability, Genetic Correlation and Path Analysis for Quantitative Traits in Durum and Bread Wheat Under Dry Farming Conditions

Heritability, Variability, Genetic Correlation and Path Analysis for Quantitative Traits in Durum and Bread Wheat Under Dry Farming Conditions

Productivity, persistence and traits related to drought tolerance in smooth bromegrass

Correlations between Growth and Yield Parameters of Soybean (Glycine max (L.) Merr.) under the Influence of Bradyrhizobium japonicum in Kipushi (The Democratic Republic of Congo)

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