scholarly journals The GT biplot analysis of green bean traits

2018 ◽  
Vol 48 (6) ◽  
Author(s):  
Tâmara Rebecca Albuquerque de Oliveira ◽  
Geraldo de Amaral Gravina ◽  
Gustavo Hugo Ferreira de Oliveira ◽  
Kleberson Cordeiro Araújo ◽  
Lanusse Cordeiro de Araújo ◽  
...  
Keyword(s):  
Grain Yield ◽  
Analysis Of Variance ◽  
Seed Weight ◽  
Block Design ◽  
Principal Component ◽  
Green Bean ◽  
Plant Seed ◽  
Pod Yield ◽  
Biplot Analysis ◽  
Number Of Seeds

ABSTRACT: The green bean (Phaseolus vulgaris L.) is a nutrient-rich vegetable much appreciated; although, little studied, in Brazil. The aim of the current study was to investigate the nature of traits of interest, as well as to select plants for the green bean breeding program based on genotype vs. trait biplot analysis. The experiment followed a randomized block design, with 4 repetitions and 17 genotypes. Analysis of variance, principal component analysis and biplot charts were performed to analyze the number of pods per plant, the number of seeds per pod, the number of seeds per plant, seed weight per plant, 100-seed weight, as well as grain and pod yields. The analysis of variance showed genetic variability between genotypes. Grain yield, pod yield and seed weight per plant were highly correlated. The number of seeds per pod was negatively correlated with pod weight, grain weight and with seed weight per plant. Lines Feltrin and UENF 14-30-3 were indicated to increase gains in variables such as grain yield and pod yield.

scholarly journals AMMI BIPLOT ANALYSIS OF GRAIN YIELD PERFORMANCES OF TEF (ERAGROSTIS TEF [ZUCC.] TROTTER) VARIETIES ACROSS DIFFERENT LOCATIONS OF SOUTH AND SOUTHWESTERN ETHIOPIA

2021 ◽  
pp. 9-13
Author(s):  
TEGEGN BELETE ◽  
KEBEBEW ASSEFA ◽  
SENTAYEHU ALAMEREW
Keyword(s):  
Grain Yield ◽  
Analysis Of Variance ◽  
Agronomic Traits ◽  
Agricultural Research ◽  
Block Design ◽  
Principal Component ◽  
Eragrostis Tef ◽  
Yield Data ◽  
Biplot Analysis ◽  
Significant Difference

Objective: The objective of the study was to identify high yielding and stable tef varieties across different locations of South and Southwestern part of Ethiopia. Methods: The experiment was conducted using 21 tef varieties obtained from a tef breeding program based at Debre Zeit Agricultural Research Center. The trial was laid out using a randomized complete block design with three replications at six locations during the 2018 cropping season. Data for all relevant agronomic traits were collected, but only plot yield data converted to kg/ha was subjected to statistical analysis. Results: The results of combined analysis of variance for grain yield of 21 tef varieties across six locations revealed that there is a highly significant difference among the locations, genotypes, and interaction effects with the contributions of 67.4, 8.1, and 17.8% of sum of squares, respectively. Analysis of variance of AMMI model revealed the two interaction principal component analysis (IPCA1 and IPCA2) were highly significant according to Gollob’s test and accounted for 42.8 and 20.6% of variance, respectively. Conclusion: Based on AMMI Biplot analysis, Ambo location could be the representative area among tested locations to determine the tef varieties and the variety Heber-1 (G11) and Dukem (G15) were recommendable for broad adaptation since they were stable and high yielding across locations.

scholarly journals Estimation Of Genetic Divergence In Lablab Bean (Lablab purpureus L.) Genotypes

2013 ◽  
Vol 38 (1) ◽  
pp. 105-114 ◽  
Author(s):  
M Salim ◽  
S Hossain ◽  
S Alam ◽  
JA Rashid ◽  
S Islam
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Seed Weight ◽  
Lablab Purpureus ◽  
Plant Seed ◽  
Pod Yield ◽  
Cluster Group ◽  
Cluster Data ◽  
100 Seed Weight ◽  
Number Of Seeds

An experiment for diversity analysis with 66 genotypes of lablab bean (Lablab purpureus L.) was conducted at Department of Genetics and Plant Breeding, Bangladesh Agricultural University (BAU) during 2009-2010. Data were collected from all experimental plants on the following characters: days to first flowering, days to 50% flowering, days to first pod setting, no. of pods per plant, wt. of 20 pods (g), pod yield per plant (g), pod length (cm), number of seeds per pod, number of seeds per plant, 100-seed weight (g), and seed yield per plant (g). As per multivariate analysis, the genotypes were grouped into seven clusters. The highest number of genotypes 15 was included in cluster V followed by cluster II, which contained 13 genotypes. Cluster III, I, VI, IV contained 12, 11, 6, and 5 genotypes, respectively. The cluster VII which included 4 genotypes was the smallest among the 7 clusters. It is important to note that the highest amount of genetic divergence within the cluster group was noticed in the cluster VII having only 4 genotypes. The inter-cluster distances (D2) were higher than the intra-cluster distances. The inter-cluster D2 values varied from 2059.094 to 19302.6. The distances between the cluster VII and V; VII and VI; VII and II and VII and I were comparatively high than the other inter-cluster distances. The genotypes of these clusters were thus more diversified for yield and yield contributing characters. The intracluster distance (8502.795) observed in cluster VII revealed maximum diversity among themselves. While the least variation (625.372) was noticed between genotypes of the cluster II signifying the closeness of the genotypes included in this cluster. Data on the contribution of individual characters towards divergence suggested that no. of pods per plant contributed maximum (34.033%) to the genetic divergence followed by pod yield per plant and 100-seed weight. The genotypes of the cluster VII produced highest pods per plant and those of the cluster II produced lowest pod yield per plant. Seed yield per plant was found to be highest in cluster VII and lowest in cluster II. Results of the study suggested that selection for these traits in climbing genotypes might be effective. By strategically using this diversity, the breeder can develop high yielding varieties of lablab bean. Bangladesh J. Agril. Res. 38(1): 105-114, March 2013 DOI: http://dx.doi.org/10.3329/bjar.v38i1.15195

scholarly journals Growth, yield and yield component attributes of narrow-leafed lupin (Lupinus angustifolius L.) varieties in the highlands of Ethiopia

2019 ◽  
Vol 7 (1) ◽  
pp. 48-55
Author(s):  
Firehiwot Alemu ◽  
Bimrew Asmare ◽  
Likawent Yeheyis
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Seed Weight ◽  
Block Design ◽  
Lupinus Angustifolius ◽  
Growth And Yield ◽  
Future Research ◽  
Forage Production ◽  
Number Of Seeds ◽  
Number Of Branches

An experiment was conducted to characterize the growth and yield performance of narrow-leafed sweet blue lupin varieties (Lupinus angustifolius L.) in northwestern Ethiopia. The experiment was laid out in a randomized complete block design with 4 replications and included 7 varieties (Bora, Probor, Sanabor, Vitabor, Haags blaue, Borlu and Boregine). Data on days to flowering and to maturity, flower color, plant height, numbers of leaflets, branches and pods per plant, pod length, number of seeds per pod, forage dry matter (DM) yield, grain yield and 1,000-seed weight were recorded. The results showed that plant height, number of branches per plant, forage DM yield, number of seeds per pod, grain yield and 1,000-seed weight varied significantly (P<0.01) among varieties. The highest forage DM yield at 50% flowering (2.67 t/ha), numbers of pods per plant (16.9) and of seeds per pod (4.15), grain yield (1,900 kg/ha) and 1,000-seed weight (121 g) were obtained from the Boregine variety. The tallest plants and greatest number of branches per plant were recorded from varieties Sanabor and Bora, respectively. Correlation analysis showed that the major factor affecting forage DM yield was plant height, while plant height, days to maturity and number of seeds per pod had the greatest influence on grain yield. The best performing variety was Boregine followed by Sanabor and Bora. These varieties seem promising for the development of sustainable forage production strategies with limited external inputs. However, future research should be conducted on the improvement of their agronomy and the possibility of their utilization as protein supplements using narrow-leafed sweet blue lupin forage or grain, as well as testing of promising varieties in diverse locations.

scholarly journals Variability, correlation and path analysis in lablab bean (Lablab purpureus L.)

2014 ◽  
Vol 38 (4) ◽  
pp. 705-717
Author(s):  
M Salim ◽  
S Hossain ◽  
S Alam ◽  
JA Rashid ◽  
S Islam
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Path Coefficient ◽  
Lablab Purpureus ◽  
Positive Direction ◽  
Plant Seed ◽  
Pod Yield ◽  
100 Seed Weight ◽  
Pod Number ◽  
Number Of Seeds

The results of the study carried out during 2009-2010 with lablab bean (Lablab purpureus) are presented in this paper. Data were recorded from all experimental plants on the following characters as number of pods/plant, pod yield/plant (g), number of seeds/pod, number of seeds/plant; seed yield/plant (g), Range, mean, genetic parameter, correlation co-efficient and path coefficient were studied. High heritability coupled with high expected genetic advance in percentage of mean were observed for most of the characters. The coefficients of correlation showed that seed yield/plant was positively and significantly correlated with days to first flowering, days to 50% flowering, days to first pod setting, number of pods/plant, pod yield/plant and seeds/pod, number of seeds/plant, and seed yield. Path coefficient analysis showed that days to first flowering, days to 50% flowering, number of pods/plant, 20 pod weight (g), pod yield/plant, pod length, number of seeds/pod, number of seeds/plant, 100-seed weight influenced seed yield/plant directly in positive direction. Among the characters, number of seeds/plant had high positive correlation with seed yield/plant. Days to first pod setting exhibited negative direct effects on seed yield. From this result, it can be concluded that days to first flowering, days to 50% flowering, number of pods/plant, pod yield/plant, number of seeds/pod, number of seeds/plant, 100-seed weight are the most important yield contributing characters as they influenced pod yield and seed yield directly in positive direction. DOI: http://dx.doi.org/10.3329/bjar.v38i4.19662 Bangladesh J. Agril. Res. 38(4): 705-717, December 2013

Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Om Prakash Yadav ◽  
A. K. Razdan ◽  
Bupesh Kumar ◽  
Praveen Singh ◽  
Anjani K. Singh
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Principal Component ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Principal Component Axis ◽  
Ammi Analysis

Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qha–1), BH 902 (37.53qha–1) and RD 2907 (33.29qha–1) exhibited grain yield superiority of 64.45, 30.42, 50.42 and 33.42 per cent, respectively over farmers’ recycled variety (24.43qha–1).

scholarly journals GROWTH AND YIELD EVALUATION OF MUSTARD VARIETIES GROWN IN A MEDIUM HIGHLAND OF KHULNA REGION

2021 ◽  
Vol 18 (1) ◽  
pp. 1-8
Keyword(s):  
Seed Weight ◽  
Harvest Index ◽  
Block Design ◽  
Growth Yield ◽  
Growth And Yield ◽  
Rabi Season ◽  
Yield Attributes ◽  
Randomized Complete Block Design ◽  
Stover Yield ◽  
Number Of Seeds

The present research was conducted at the experimental field of Agrotechnology Discipline, Khulna University, Khulna during Rabi season 2016-17 to investigate the growth and yield performance of mustard varieties. The experiment was arranged in a randomized complete block design consisting of eight mustard varieties (viz. BARI Sarisha-8, BARI Sarisha-11, BARI Sarisha-13, BARI Sarisha-14, BARI Sarisha-15, BARI Sarisha-16, Rai and Tori-7) as treatment and replicated thrice. All the growth, yield attributes and yield were substantially influence among the mustard varieties except the phenological parameters. Results of the experiment showed that the highest plant height (131.33 cm), seed yield (1813.33 kg ha-1) and stover yield (3876.67 kg ha-1) were found in BARI Sarisha-16. BARI Sarisha-11 was found better in respect of maximum siliqua plant-1, weight of seeds plant-1, 1000-seed weight and harvest index. Besides this, BARI Sarisha-14 showed the maximum number of seeds siliqua-1. Therefore, findings of this study suggested that BARI Sarisha-16 would be suitable for better productivity and recommended for cultivation in the medium highland of Khulna region of Bangladesh.

scholarly journals Determination of the Optimum Rate of N Fertilizers with Addition of Goat Manure for Production of Cowpea (Vigna unguiculata [L.] Walp)

2019 ◽  
Vol 6 (02) ◽  
pp. 121-128
Author(s):  
Devi Liana ◽  
Heni Purnamawati ◽  
Maya Melati ◽  
Yudiwanti Wahyu
Keyword(s):  
Vigna Unguiculata ◽  
Seed Weight ◽  
Block Design ◽  
Dry Weight ◽  
N Fertilizer ◽  
Plant Seed ◽  
Optimum Rate ◽  
Randomized Block Design ◽  
Goat Manure ◽  
100 Seed Weight

Cowpea (Vigna unguiculata L. Walp) is one of the potential substitutes of soybean due to its similar nutritional content. This study aims to determine the optimum rate of N fertilizer for the production of cowpea, and to determine the effects of the interaction between N fertilizer rates and goat manure application on cowpea production. The experiment was organized in a split-plot with a complete randomized block design with three replications. The main plot was goat manure, i.e. 0 and 5 tons.ha-1; the sub-plot was nitrogen fertilizer with five rates (0, 50, 100, 150, and 200% of the recommended rate), i.e. 0, 22.5, 45, 67.5, and 90 kg N.ha-1. Application of N fertilizer reduced the 100-seed weight and slightly reduced cowpea yield and yield components. Application of goat manure increased seed dry weight per plant, number of pods per plant, dry pod weight per plant, seed dry weight per m2, productivity, 100-seed weight, and the harvest index. There was no significant interaction between goat manure and different rates of nitrogen in affecting cowpea growth.

scholarly journals Effect of Seed Distribution and Population on Maize (Zea maysL.) Grain Yield

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Bee Khim Chim ◽  
Peter Omara ◽  
Natasha Macnack ◽  
Jeremiah Mullock ◽  
Sulochana Dhital ◽  
...  
Keyword(s):  
Grain Yield ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Block Design ◽  
N Uptake ◽  
Plant Spacing ◽  
Randomized Complete Block Design ◽  
Seed Distribution ◽  
Treatment Structure ◽  
Number Of Seeds

Maize planting is normally accomplished by hand in the developing world where two or more seeds are placed per hill with a heterogeneous plant spacing and density. To understand the interaction between seed distribution and distance between hills, experiments were established in 2012 and 2013 at Lake Carl Blackwell (LCB) and Efaw Agronomy Research Stations, near Stillwater, OK. A randomized complete block design was used with three replications and 9 treatments and a factorial treatment structure of 1, 2, and 3 seeds per hill using interrow spacing of 0.16, 0.32, and 0.48 m. Data for normalized difference vegetation index (NDVI), intercepted photosynthetically active radiation (IPAR), grain yield, and grain N uptake were collected. Results showed that, on average, NDVI and IPAR increased with number of seeds per hill and decreased with increasing plant spacing. In three of four site-years, planting 1 or 2 seeds per hill, 0.16 m apart, increased grain yield and N uptake. Over sites, planting 1 seed, every 0.16 m, increased yields by an average of 1.15 Mg ha−1(range: 0.33 to 2.46 Mg ha−1) when compared to the farmer practice of placing 2 to 3 seeds per hill, every 0.48 m.

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.

Genetic Divergence Analysis in Mungbean (Vigna radiata L. Wilczek)

2019 ◽  
Vol 4 (01) ◽  
pp. 106-109
Author(s):  
Amit Tomar ◽  
D. K. Upadhyay
Keyword(s):  
Seed Weight ◽  
Block Design ◽  
Number Of Clusters ◽  
Randomized Block Design ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Farm Crop ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Seeds

An experiment involving 45 genotypes/strains of mungbean was conducted during kharif 2018 at University Farm (Crop Cafeteria) of Rani Lakshmi Bai Central Agricultural University (RLBCAU), Jhansi in a Randomized Block Design with three replications. Data were recorded and analyzed for 10 characters viz.; days to 50% flowering, days to maturity, plant height (cm), number of primary branches per plant, number of clusters per plant, number of pods per plant, pod length (cm), number of seeds per pod, 100-seed weight (g) and grain yield per plant (g). All the forty five genotypes were grouped into seven different clusters using D2 statistics. Cluster-I, II, III, IV, V, VI and VII had 8, 5, 4, 5, 13, 2 and 8 genotypes, respectively. The greatest inter cluster distance (297.39) was between cluster-II and cluster-V.

Sign in / Sign up

Export Citation Format

Share Document