scholarly journals Study on relationship and selection index for yield and yield contributing characters in spring wheat

1970 ◽  
Vol 8 (2) ◽  
pp. 191-194
Author(s):  
MF Ferdous ◽  
AKM Shamsuddin ◽  
D Hasna ◽  
MMR Bhuiyan
Keyword(s):  
Grain Yield ◽  
Spring Wheat ◽  
Selection Index ◽  
Grain Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Wheat Genotypes ◽  
Selection Indices ◽  
Days To Maturity ◽  
The Relationship

The present study was conducted with twenty bread wheat genotypes at the experimental field of Bangladesh Agricultural University (BAU), Mymensingh, during the period from November 2008 to March 2009 to assess the relationship and selection index among yield and important yield attributing characters. Days to maturity, grains per spike, 100-grain weight and harvest index showed significant and positive correlation with grain yield per plant. Path coefficient analysis suggested that grains per spike followed by 100-grain weight and effective tillers per plant contributed maximum to grain yield positively and directly. Thus, selection based on these characters might be effective for improving grain yield. Selection indices were constructed through the discriminate functions using eight characters. From the results, the highest relative efficiency was observed with the selection index based on three characters; plant height and grains per spike and grain yield per plant. The present investigation indicates that the index selection based on these three characters might be more effective and efficient for selecting high yielding wheat genotypes. Keywords: Spring wheat; Relationship; Selection index; Yield contributing characters DOI: 10.3329/jbau.v8i2.7923 J. Bangladesh Agril. Univ. 8(2): 191-194, 2010

scholarly journals Correlation and Path Coefficient Analysis of Yield and Yield Components of Quality Protein Maize (Zea mays L.) Hybrids at Jimma, Western Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Jemal Aman ◽  
Kassahun Bantte ◽  
Sentayehu Alamerew ◽  
Desta Berhe Sbhatu
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Essential Amino Acids ◽  
Grain Weight ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Selection Indices ◽  
Ear Height ◽  
Effect On Yield

Maize is one of the most important staple food crops in many parts of Ethiopia. However, it is not used extensively due to its poor nutritional quality and low productivity. It lacks two essential amino acids, namely, lysine and tryptophan. Knowledge of the interrelationships of grain yield and its various causal (contributory) components is very helpful to improve the efficiency of breeding programs using appropriate selection indices. This article reports the findings of a study conducted to determine the nature of relationships of grain yield and its contributing components and to identify those components with significant effects on yield with the intention of using them as selection criteria using path coefficient analysis (PCA). Therefore, PCA has shown that yield per hectare had a significant and positive phenotypic correlation with plant height, ear height, number of kernels per row, and 100-grain weight. Moreover, PCA had a significant and positive genotypic correlation with days to 50% tasseling, plant height, ear height, and 100-grain weight. The highest direct positive effect on yield per hectare was exhibited by ear height. The findings of this study showed that most genotypes are early maturing and are suitable for areas with short rainy seasons and prone to drought.

scholarly journals Character Association and Path-Coefficient Analysis for Yield and Yield-Related Traits in 112 Genotypes of Rice (Oryza sativa L.)

2020 ◽  
pp. 545-556
Author(s):  
S. K. Singh ◽  
Pratibha Singh ◽  
Mounika Korada ◽  
Amrutlal Ratilal Khaire ◽  
D. K. Singh ◽  
...  
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Strong Correlation ◽  
Biomass Yield ◽  
Grain Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Days To Maturity ◽  
Spikelets Per Panicle ◽  
Positive Direct

Character association and path coefficients for sixteen different yield and yield-contributing traits were evaluated for 112 rice genotypes at Banaras Hindu University, Varanasi during Kharif-2019. The experiment was conducted in alpha lattice design and observations were recorded in five randomly selected plants for sixteen traits. The data were analyzed in WINDOSTAT 9.3 ver. for correlation and path analysis. The correlation analysis showed very strong correlation of grain yield per plot with biomass yield per plot. Days to first flowering showed very strong correlation with days to 50% flowering and days to maturity. Days to 50% flowering showed very strong correlation with days to maturity. Spikelets per panicle showed very strong correlation with grains per panicle and grain weight per panicle. Number of grains per panicle showed very strong correlation with grain weight per panicle. Path-coefficient analysis showed that biomass yield per plot, grain yield per plant, grain weight per panicle, grains per panicle, spikelets per panicle, harvest index, days to first flowering, days to 50% flowering, days to maturity and panicle length had a high and positive direct effect on grain yield per plot. Correlation and path coefficient analysis envisaged characteristics such as biomass yield per plot, grain weight per panicle, grains per panicle, spikelets per panicle, first flowering, 50 percent flowering and days to maturity showed positive direct effect and very strong correlation with grain yield per plot, indicating the effectiveness of these traits in selection. Path analysis revealed that traits like biomass yield per plot, harvest index, grain yield per panicle exerted highest positive direct effect on grain yield per plot. Thus, these characters which contribute to the grain yield could be exploited for future breeding programmes.

Path Coefficient Analysis, Character Association and Variability Studies in Selected Maize (Zea mays L.) Genotypes Grown in Southern Nigeria

2019 ◽  
pp. 1-6
Author(s):  
Godwin Michael Ubi ◽  
Maria Bisong Onabe ◽  
Success Eni Kalu
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Seed Weight ◽  
Block Design ◽  
Selection Index ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
100 Seed Weight

The success of any selection process is greatly enhanced by using appropriate selection indices. The knowledge of the relationship among various traits affecting grain yield is imperative to arrive at potentially effective selection index. The study was carried out to unveil the different attributes of genetic variability, the type of interrelationships among the various traits affecting yield. Fifteen local and improved maize inbred lines were crossed to three tester varieties to develop 45 test cross progenies. The parents and crosses (63 entries in all) were evaluated in two different locations with three replications at each location using the Randomized complete block design (RCBD). Data generated was recorded for the quantitative traits evaluated and subjected to statistical analysis for estimation of various variability parameters namely GCV, PCV, heritability and genetic advance alongside computing genotypic correlation coefficients and path coefficient analysis to unveil the direct and indirect effects of the various traits studied. The analysis of variability parameters evaluated revealed the presence of significant variability for all the traits studied. Grain yield, ear length, ear height, 100-seed weight and ear diameter showed high GCV estimates, with high heritability. The genetic advance was higher for plant height, ear length, grain/row and grain yield. The genotypic correlation coefficient revealed that ear diameter, 100 seed weight, ear length, kernel rows/ear and grains/row had highest significant correlation with grain yield. The path coefficient analysis revealed that highest direct effect on grain yield was exhibited by 100 seed weight followed by grains/row, kernel rows/ear, ear length and ear diameter. Most of the traits exerted their positive indirect effects through 100 – seed weight, kernel rows/ear and grains/row. The inferences of the results of the present study and their possible implications in maize breeding have been revealed.

scholarly journals Studies on Correlation and Path Coefficient Analysis in Hybrid Rice (Oryza sativa L.) for Yield and Quality Traits

2021 ◽  
Vol 12 (5) ◽  
pp. 496-505
Author(s):  
M. Vennela ◽  
◽  
B. Srinivas ◽  
V. Ram Reddy ◽  
N. Balram ◽  
...  
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Height ◽  
Grain Weight ◽  
Spikelet Fertility ◽  
Path Coefficient ◽  
Quality Traits ◽  
Path Coefficient Analysis ◽  
Kernel Length ◽  
1000 Grain Weight

The present investigation was carried out at Regional Agricultural Research Station, Polasa, Jagtial, Telangana state, India to study the correlation and path coefficient analysis towards yield, physical and chemical quality traits in 46 genotypes including two checks in Randomized Block Design with two replications during kharif, october, 2019. Association of yield and yield components and among grain yield characters makes us to understand their relationship towards selecting a high yielding and good quality varieties. The result from the study revealed that all the nineteen characters studied has shown a great range of variation for correlation and path analysis. The character association studies in this experiment revealed that the trait grain yield plant-1 had showed significant positive correlation with plant height, spikelet fertility, 1000 grain weight, milling %, hulling %, kernel length and kernel breadth whereas it showed negative and non-significant association with days to 50% flowering. The path analysis studies revealed that kernel length was the major contributor for grain yield plant-1 followed by plant height, spikelet fertility, number of grains per panicle, 1000 grain weight, milling %, gel consistency, amylose content and alkali spreading value. These characters showed direct positive effects for grain yield plant-1. From the study it can be concluded that the above characters can be used directly as the selection criteria in any rice yield improvement breeding programmes.

scholarly journals Study of Correlation and Path Analysis Between Grain Yield and Yield Related Traits in Wheat

2018 ◽  
Vol 7 (1) ◽  
pp. 57-67
Author(s):  
Maysoun M. S. ◽  
Salih H. F. Al-salim ◽  
Reem Al-edelbi ◽  
Naoman S. M.
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Block Design ◽  
Grain Weight ◽  
Path Coefficient ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Grain Number Per Spike ◽  
Correlation And Path Analysis ◽  
Corporate Effect

Agricultural experiment carried out during the 2014-2015agricultural season winter wheat planting classAba99in tow sites Al-Shattra and Al-Dwayah in Al-NaseriahExplanatory farmers' fields covered by the national program for the development of the cultivation of wheat in Iraq and four treatments were applied on wheat(Laser plus weed controlling, Laser plus weed controlling plus sulfur, Laser plus weed controlling plus sulfur plus other elements, Control for comparing), in Randomized Complete Block Design RCBD with three replications, Correlations and path coefficient analysis between (number of brunches, Spike Length, number of spikes/m2, grains number per spike, thousand grain weight and plant grain yield), Results showed that grain yield  had a positive significant correlation with each of number of spikes/m2 and grains number per spike (0.711**, 0.465**) respectively.Results of path coefficient analysis showed that the direct effect of number of spikes/m2  on grain yield was high and positive(0.5350), while the indirect effectsfor each of number of brunches and number of grains  per spike and thousand grain weight on grain yield wasmedium and positive (0.2571, 0.2557, 0.2434) respectively, and also the indirect effect for grain number per spike on grain yield through number of spikes/m2 was positive and medium(0.2479). Results also showed that number of spikes/m2 had  the highest contribution in yield as a direct effect 28.621%, followed by the corporate effect of number of spikes/m2  and number of grains in spike12.674%

scholarly journals Genetic variability, correlated response and path analysis of yield and yield contributing traits of spring wheat

1970 ◽  
Vol 6 (2) ◽  
pp. 227-234 ◽  
Author(s):  
DAN Majumder ◽  
AKM Shamsuddin ◽  
MA Kabir ◽  
L Hassan
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Spring Wheat ◽  
Harvest Index ◽  
Correlation Coefficients ◽  
Grain Weight ◽  
Phenotypic Correlation ◽  
Correlated Response ◽  
Path Coefficient ◽  
Wheat Varieties

Twenty spring wheat varieties were studied to find out genetic variability and genetic association for grain yield and its component characters. Both genotypic and phenotypic variances were highly significant in all the traits with little higher phenotypic variations as usual. Similarly, the low differences between the phenotypic and genotypic coefficients of variations indicated low environmental influences on the expression of these characters. High heritability coupled with high genetic advance were obtained with plant height, grains per spike, 100-grain weight, harvest index and grain yield. Genotypic correlation coefficients were higher than the corresponding phenotypic correlation coefficients in most of the traits. Spikes per plant, grains per spike, spike length, 100-grain weight and harvest index were the most important characters which possessed positive association with grain yield. Path coefficient analysis revealed that among the different yield contributing characters spike per plant, grains per spike, 100-grain weight and harvest index influenced grain yield per plant directly. The direct effects of these characters on grain yield were positive and considerably high. Moreover, harvest index, days to maturity and spikes per plant had positive and higher indirect effect on grain yield through grains per spike. Thus selection for yield in spring wheat through these characters would be effective. Keywords: Variability; Selection indices; WheatDOI: 10.3329/jbau.v6i2.4815 J. Bangladesh Agril. Univ. 6(2): 227-234, 2008

scholarly journals Assessment of the relationship of yield and its contributing traits in wheat

2022 ◽  
pp. 4-10
Keyword(s):  
Grain Yield ◽  
Genetic Material ◽  
Spike Length ◽  
F1 Hybrids ◽  
Path Coefficient ◽  
Cereal Crop ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Relationship Of ◽  
The Relationship

Wheat is an essential source of nutrition for humans and an important cereal crop of Pakistan due to its widespread use as food. To fulfill the nutrition needs of boosted population, crop yield must be improved. In this perspective, we conducted the experiment reported in this paper to achieve correlation and path coefficient attributes given by yield-related traits. Our study enables to understand the association and contribution of nine traits toward grain production. The genetic material was comprised of seven parents and twelve F1 hybrids. Correlation analysis showed that grain yield per spike, thousand grain weight, spike length, and number of tillers per plant have positive and significant correlation with grain yield per plant, at both genotypic and phenotypic level. Path coefficient analysis revealed that direct effects of number of tillers per plant, grain yield per spike, and spike length were positive. This data persuaded that selection based on these traits could be useful for breeding purposes to higher grain yield.

scholarly journals Study of variance, heritability and genetic advance for various yield contributing and quality traits in spring wheat (Triticum aestivum L.)

2016 ◽  
Vol 8 (4) ◽  
pp. 1811-1814
Author(s):  
Harshwardhan Harshwardhan ◽  
Anil Kumar ◽  
Amarjeet Kumar ◽  
Birendra Prasad
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Spring Wheat ◽  
Harvest Index ◽  
Grain Weight ◽  
Spike Length ◽  
Genetic Advance ◽  
Statistical Parameters ◽  
Days To Maturity ◽  
Biological Yield

An experiment was conducted to study the coefficient of variance, heritability and genetic advance for different traits in spring wheat .The investigation comprised of 7 lines of wheat and their 21 crosses in half diallel fashion was carried out in RBD with three replications. Data were recorded for days to 75% heading, days to maturity,plant height, number of productive tillers per plant, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, 1000-grain weight, biological yield per plant, harvest index, grain yield per plant, protein content and sedimentation value. The mean squares of the analysis of variance revealed significant and highly significant differences among genotypes for characters studied. Both PCV and GCV (21.8% and 21.3%) were highest for biological yield per plant followed by grain yield per plant (20.9%) and harvest index (19.7%) respectively. Whereas, ECV was maximum (15.2%) for grain yield per plant followed by harvest index (12.2%) and lowest value was recorded for days to 75% heading (0.85%). Days to 75% heading was highly heritable (90.94%) trait followed by plant height (87.23%) while least heritability (17.73%) was noticed for number of grain per spike. The highest genetic advance shown by the biological yield per plant (48.33g) followed by grain yield per plant (19.75g), however, the greatest genetic value percent mean 43.084 for the days to maturity and minimum (2.10) for spike length. Hence, these statistical parameters might be given top priority to strengthen the successful breeding program.

scholarly journals Winter Wheat Adaptation to Climate Change in Turkey

Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 689
Author(s):  
Yuksel Kaya
Keyword(s):  
Climate Change ◽  
Winter Wheat ◽  
Grain Yield ◽  
Spring Wheat ◽  
Control Treatment ◽  
Climate Change Scenarios ◽  
Combined Effects ◽  
Adaptation To Climate Change ◽  
Wheat Genotypes ◽  
Plant Characteristics

Climate change scenarios reveal that Turkey’s wheat production area is under the combined effects of heat and drought stresses. The adverse effects of climate change have just begun to be experienced in Turkey’s spring and the winter wheat zones. However, climate change is likely to affect the winter wheat zone more severely. Fortunately, there is a fast, repeatable, reliable and relatively affordable way to predict climate change effects on winter wheat (e.g., testing winter wheat in the spring wheat zone). For this purpose, 36 wheat genotypes in total, consisting of 14 spring and 22 winter types, were tested under the field conditions of the Southeastern Anatolia Region, a representative of the spring wheat zone of Turkey, during the two cropping seasons (2017–2018 and 2019–2020). Simultaneous heat (>30 °C) and drought (<40 mm) stresses occurring in May and June during both growing seasons caused drastic losses in winter wheat grain yield and its components. Declines in plant characteristics of winter wheat genotypes, compared to those of spring wheat genotypes using as a control treatment, were determined as follows: 46.3% in grain yield, 23.7% in harvest index, 30.5% in grains per spike and 19.4% in thousand kernel weight, whereas an increase of 282.2% in spike sterility occurred. On the other hand, no substantial changes were observed in plant height (10 cm longer than that of spring wheat) and on days to heading (25 days more than that of spring wheat) of winter wheat genotypes. In general, taller winter wheat genotypes tended to lodge. Meanwhile, it became impossible to avoid the combined effects of heat and drought stresses during anthesis and grain filling periods because the time to heading of winter wheat genotypes could not be shortened significantly. In conclusion, our research findings showed that many winter wheat genotypes would not successfully adapt to climate change. It was determined that specific plant characteristics such as vernalization requirement, photoperiod sensitivity, long phenological duration (lack of earliness per se) and vulnerability to diseases prevailing in the spring wheat zone, made winter wheat difficult to adapt to climate change. The most important strategic step that can be taken to overcome these challenges is that Turkey’s wheat breeding program objectives should be harmonized with the climate change scenarios.

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