scholarly journals Stability analysis of soybean [Glycine max (L.) Merrill] genotypes under multi-environments rainfed condition of North Western Himalayan hills

2018 ◽  
Vol 78 (3) ◽  
Author(s):  
Anuradha Bhartiya ◽  
J. P. Aditya ◽  
Vedna Kumari ◽  
Naval Kishore ◽  
J. P. Purwar ◽  
...  
Keyword(s):  
Grain Yield ◽  
Seed Weight ◽  
Gge Biplot ◽  
Rainfed Condition ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Superior Genotypes ◽  
Ideal Genotype ◽  
100 Seed Weight ◽  
Location Interaction

In the present study, performance of five promising soybean genotypes over 4 locations during kharif 2013, 2014 and 2015 were investigated using GGE biplot analysis. Location attributed the highest proportion of the variation for all the traits except 100 seed weight ranging from 26.97-86.81% whereas, genotype contributed only 3.01-60.51% and genotype x location interaction contributed 6.01-31.42% of total variation. For 100 seed weight genotype has contributed major proportion of variation (66.26%) than location (31.08%) and genotype x location interaction (2.65%). Superior genotypes for key traits viz., grain yield (VLS 86) and 100 seed weight (Himso 1685) were effectively identified using GGE biplot graphical approach. It may be stated from present study that, VLS 86 was the closest to ideal genotype with stability for high grain yield as well as earliness. ‘Which-won-where’ study partitioned the testing locations into two mega-environments: first with three locations with VLS 86 as the winning genotype; second mega environment encompassed only one location with Himso 1685 as the winning genotype. Existence mega environments was found correlated with the rainfall pattern and clearly suggested that different entries need to be selected and deployed for realising maximum grain yield in hill zone.

scholarly journals Variation in Morphological Characters and Yield Attributes of Five Selected Soybean Genotypes

2016 ◽  
Vol 8 (2) ◽  
pp. 93-96
Author(s):  
D Sultana ◽  
MN Bari ◽  
MA Karim ◽  
MAB Mia ◽  
RR Sarker
Keyword(s):  
Grain Yield ◽  
Seed Size ◽  
Seed Weight ◽  
Block Design ◽  
Morphological Characters ◽  
Yield Attributes ◽  
Randomized Complete Block Design ◽  
Soybean Genotypes ◽  
Check Variety ◽  
100 Seed Weight

A field experiment was conducted at the experimental field of the Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur during November 2013 to March 2014. Four soybean genotypes i.e BU Soybean1, BD2329, BD2331, AGS313 and a check variety BARI Soybean 6 were used to evaluate their variations in morphological characters and yield attributes. The experiment was laid out in a Randomized Complete Block Design (RCBD) with three replications. The highest LAI (4.4) was found in genotype AGS313 and the smallest was found in BU Soyabean1. The highest pod size of 625 mg pod-1 was found in AGS313 while the lowest of 340 mg pod-1 was observed in BU Soybean1. Although BU Soyabean1 had smaller seed size but it had higher number of pods plant-1 (32.1) compared to other genotypes. The maximum 100-seed weight was recorded in AGS313 (16.34 g) and the minimum was obtained from the genotype BU Soybean1 (11.0 g). AGS313 genotype contributed to the highest grain yield of 4.29 tha-1, while BU Soyabean1 stood second position contributing 2.65 tha-1. Results also indicated that not only seed size but also number of pods plant-1 contributed to grain yield. Again there were highly significant differences among genotypes for all the characters.J. Environ. Sci. & Natural Resources, 8(2): 93-96 2015

scholarly journals An Assessment of Soybean (Glycine max, L. Merrill) Grain Yield in Different Environments Using AMMI and GGE Biplot Models in Humidorest Fringes of Southeast Nigeria

2015 ◽  
Vol 48 (3-4) ◽  
pp. 82-90 ◽  
Author(s):  
Richmond Emuohwo Edugbo ◽  
Godson Emeka Nwofia ◽  
Lawrence Stephen Fayeun
Keyword(s):  
Glycine Max ◽  
Grain Yield ◽  
Positive Interactions ◽  
Gge Biplot ◽  
Planting Dates ◽  
Genotype By Environment ◽  
Main Effect ◽  
Glycine Max L ◽  
Superior Genotypes ◽  
Target Set

Abstract The yield of four soybean (Glycine max, L. Merrill) genotypes under six planting dates in two years was assessed using the Additive Main Effect and Multiplicative Interaction (AMMI) and Genotype and Genotype-by-Environment biplot models. The results of combined analysis of variance for grain yield of the four genotypes of soybean grown in 12 environments showed that soybean grain yield was significantly (P < 0.01) affected by environments (E), genotypes (G) and genotype by environment interactions (GE). Genotypes and environments accounted for about 6.56% and 47.66% of the variation, respectively, while the GE explained 14.47% of the variation, which is more than double of the genotypic effects of the total variation. AMMI biplot indicated genotype TGx1485-1D and the early July 2012 environment were above average for grain yield and had positive specific interactions with each other. However, TGx1485-1D had negative interactions with the other environments while genotypesTGx14482E, TGx1987-10F and TGx1835-10E had positive interactions with all the environments except E5. In the differential yield ranking of genotypes across the twelve environments TGx1485-1D had the highest yield in seven out of the twelve environments. TGx1835-10E was the highest yielding genotype in three environments, while TGx1448-2E gave the greatest yield in two environments. Although TGx1485-1D exhibited high GEI, in the GGE biplot it was ranked as the most desirable genotype. GGE biplot identified early July 2012(E5) as the best environment. The result showed that application of AMMI and GGE biplots facilitates visual comparison and identified superior genotypes for each target set of environments.

scholarly journals Combining ability and heterosis for grain yield, fodder yield and other agronomic traits in sorghum [Sorghum bicolor (L.) Moench]

2015 ◽  
Vol 7 (2) ◽  
pp. 1001-1005
Author(s):  
Sushil Kumar ◽  
Pooran Chand
Keyword(s):  
Grain Yield ◽  
Sorghum Bicolor ◽  
Plant Height ◽  
Combining Ability ◽  
Seed Weight ◽  
Leaf Length ◽  
Specific Combining Ability ◽  
Fodder Yield ◽  
Standard Heterosis ◽  
100 Seed Weight

Forty five hybrids derived from a diallel mating design of ten parents and one standard check PUSA CHARI-121 were evaluated for general and specific combining ability effects and standard heterosis for grain yield/plant, dry fodder yield/plant, days to 50 per cent flowering, plant height, number of leaves/plant, leaf length, leaf breadth and 100- seed weight of Sorghum bicolor. The mean square due to general and specific combining ability was significan for Days to 50% flowering, Days to maturity, Plant height (cm),No of Leaves/plant, Leaf length (cm), Leaf width (cm), seed yield/plant (g), Fodder yield/plant (q/ha) and 100-seed weight (g) for all the characters. Both additive and non additive genetic effects were present in the material under study. However the ratio of σ2gca/ σ2sca suggested that the preponderance of non additive gene action in expression of all the characters under study. Out of the nine parents PUSA CHARI-121, PANT CHARI-4, MP CHARI, PANT CHARI-6 and PANT CHARI-5 identified as good general combiner for grain yield/plant, dry fodder yield/plant and other agronomical traits. The hybrid HC-136 x PANT CHARI-4 and PANT CHARI-4 x PUSA CHARI-121 for grain yield/plant and hybrid MP CHARI x PANT CHARI-6, PANT CHARI-5 x SPV 1616 and HC-136 x PANT CHARI-4 for dry fodder yield/plant exhibited higher magnitude of positive significant specific combining ability effect with highest standard heterosis and per se performance. These hybrids were also found suitable for two or three yield contributing traits. In general, close association between specific combining ability effects and standard heterosis was observed among the best hybrids identified on the basis of specific combining ability effects for grain and dry fodder yield.

scholarly journals Genetic Diversity Studies in MAGIC Population of Soybean (Glycine max (L.) Merrill) Based on Mahalanobis D2 Distance

2021 ◽  
pp. 18-25
Author(s):  
Bidush Ranjan Swar ◽  
V. Swarnalatha ◽  
M. Rajendar Reddy ◽  
S. Vanisree
Keyword(s):  
Genetic Diversity ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Genetic Recombination ◽  
Breeding Programs ◽  
Total Genetic Diversity ◽  
Glycine Max L ◽  
Diversity Studies ◽  
100 Seed Weight ◽  
Number Of Branches

Soybean MAGIC lines are highly variable breeding material which utilizes both recent and historic genetic recombination events. Present investigation was carried out to assess the genetic diversity present among 95 soybean MAGIC lines along with six checks for 10 different quantitative traits. All the genotypes were grouped into 16 clusters by performing Tocher’s clustering method using Mahalanobis D2 distance. Cluster I was the largest comprising of 30 genotypes followed by cluster II (23 genotypes), cluster X (15 genotypes) and cluster IX (9 genotypes). The maximum genetic distance (D2) was observed between cluster XI and XV (168.37) followed by cluster III and XV (164.3), cluster X and XV (149.64) as well as between cluster XII and cluster XVI (145.99). The cluster mean for most of the traits were high in cluster I and cluster XVI. Oil content contributed maximum (23.86%) towards total genetic diversity followed by number of pods plant-1 (18.97%), seed yield plant-1 (18.63%), 100 seed weight (11.05%) and number of branches plant-1 (10.16%) traits. The soybean MAGIC lines belong to the cluster XI (6-120) and cluster XV (6-30, 6-31, 6-5) were found to be the most divergent hence can be utilised in the recombination breeding programs to exploit maximum heterosis.

scholarly journals Stability Assessment of Single-Cross Maize Hybrids Using GGE-Biplot Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 78
Author(s):  
L. Musundire ◽  
J. Derera ◽  
S. Dari ◽  
A. Lagat ◽  
P. Tongoona
Keyword(s):  
Grain Yield ◽  
South African ◽  
Inbred Line ◽  
Inbred Lines ◽  
Yield Potential ◽  
Research Station ◽  
Gge Biplot ◽  
Single Cross ◽  
Ideal Genotype ◽  
Single Cross Hybrids

Grain yield potential of new maize hybrid varieties across target environments contributes to the uptake of these varieties by farmers. Evaluation of single-cross hybrids developed from test crossing introgressed inbred lines bred for three distinct environments to elite tropical inbred line testers was carried out. The study&rsquo;s objective was to assess grain yield stability and genotype adaptability of the single-cross hybrids across South African environments relative to adapted commercial hybrid checks. One hundred and twenty-two introgressed inbred lines developed using the pedigree breeding program were crossed to four tropical elite inbred line testers using line &times; tester mating design to obtain 488 experimental single cross hybrids. Subject to availability of adequate seed for evaluation, a panel of 444 experimental single-cross hybrids was evaluated using an augmented design in two experiments defined as Population A and B for the study&rsquo;s convenience in South African environments. Data for grain yield (t/ha) performance for experimental single-cross hybrids and commercial check hybrids in Population A and B across environments and individual environments identified experimental single-cross hybrids that had significant comparable grain yield (t/ha) performance relative to best commercial check hybrid (PAN6Q445B) on the market. The selected experimental single-cross hybrids 225, 89, 246 and 43 (Population A) and 112 (Population B) also had a better average rank position for grain yield (t/ha) relative to best commercial check hybrid. These selected experimental single-cross hybrids had a grain yield (t/ha) advantage range of 0.9-6.7% for Population A and 7.3% for Population A and B, respectively, relative to the adapted commercial check hybrid. GGE biplot patterns for which won-where for Population A indicated that at Potchefstroom Research Station and Ukulinga Research Station experimental single-cross hybrids 127 and135 were the vertex (winning) hybrids. Cedera Research Station did not have a vertex hybrid for Population A. For Population B, experimental single-cross hybrids 112, 117 and 18 were the vertex hybrids at Cedera Research Station, Ukulinga Research Station and Potchefstroom Research Station, respectively. Experimental single-cross hybrid 257 was identified as ideal genotype for Population A, while experimental single-cross hybrid 121 in Population B was the ideal genotype. Ideal environments were also identified as Ukulinga Research Station for Population A, and Cedera Research Station for Population B. Average-environment coordination (AEC) view of the GGE biplot in Population A indicated that experimental single-cross hybrids 1 was highly stable across environments. In comparison, Population B experimental single-cross hybrid 161 was highly stable across environments. In conclusion, selected single-cross hybrids in the current study can also be advanced for further evaluation with a possibility for identifying high yielding and stable single-cross hybrids for variety registration and release in target environments in South Africa.

scholarly journals Variability of Phytochemicals by Breeding Year, Usage and Seed Size of Korean Soybean (Glycine max (L.) Merrill) Varieties

Agriculture ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 100
Author(s):  
Tae-Young Hwang ◽  
Byoung-Deok Park ◽  
Jwakyung Sung ◽  
Hong-Sig Kim
Keyword(s):  
Cluster Analysis ◽  
Seed Weight ◽  
Group Iv ◽  
Group Iii ◽  
Group I ◽  
Glycine Max L ◽  
Main Components ◽  
High Level ◽  
Different Origins ◽  
100 Seed Weight

The interest in phytochemicals from crops has grown in recent years, with soybean, as a functional crop, having great potential for providing a high level of nutrition. Therefore, the aim of this study was to evaluate phytochemicals from Korean soybean varieties, and to provide the basic information necessary for targeted breeding of soybean. The seeds of 172 soybean varieties were collected from various domestic institutes, and their phytochemicals were analyzed and compared based on agronomic characteristics (color, size, usage, etc.) using cluster analysis. We found that the soybean varieties contained relatively higher levels of the following phytochemicals: lutein (3 var., >7.0 μg g−1 seed), tocopherols (26 var., >300 μg g−1 seed), and phytosterols (33 var., >1000 μg g−1 seed). Overall, phytochemical levels were higher in varieties released since 2000 and with small-sized seeds (<12 g, 100-seed weight). The distribution of phytochemicals varied according to the usage (cooking, sauce, sprouts, etc.), even though the highest levels of each phytochemical were mainly observed in sprouts. The cluster analysis using three main components classified the varieties into five groups. Of them, group III showed relatively higher tocopherols, group IV had relatively higher lutein, and group I had relatively higher phytosterols. Jonam and Manpoong (group I) were observed in varieties high in phytochemicals. Overall, some Korean soybean varieties were found to have relatively higher levels of phytochemicals compared to those reported in previous studies of other origins. In conclusion, our findings suggest that some varieties might provide suitable breeding material for target-centered improvement of soybean varieties, and a comparison between different origins is necessary for providing better knowledge for soybean breeding.

scholarly journals Impact of epistasis and QTL×environment interaction on the accumulation of seed mass of soybean (Glycine max L. Merr.)

2008 ◽  
Vol 90 (6) ◽  
pp. 481-491 ◽  
Author(s):  
YINGPENG HAN ◽  
WEILI TENG ◽  
DESHENG SUN ◽  
YUPING DU ◽  
LIJUAN QIU ◽  
...  
Keyword(s):  
Seed Development ◽  
Seed Weight ◽  
Developmental Stages ◽  
Environmental Control ◽  
Recombinant Inbred Lines ◽  
Seed Mass ◽  
Environment Interaction ◽  
Glycine Max L ◽  
Trait Locus ◽  
100 Seed Weight

SummaryThe accumulation of seed mass in soybean is affected by both genotype and environment. The aim of the present study was to measure additive, epistatic and quantitative trait locus (QTL)×environment (QE) interaction effects of QTLs on the development of 100-seed weight in a population of 143 F5 derived recombinant inbred lines (RILs) developed from the cross between the soybean cultivars ‘Charleston’ and ‘Dong Nong 594’. Broad-sense heritability of 100-seed weight from 30 days (30D) to 80D stages was 0·58, 0·52, 0·62, 0·60, 0·66 and 0·57, respectively. A total of 17 QTLs with conditional additive (a) effect and/or conditional additive×environment interaction (ae) effect at specific stages were identified in ten linkage groups by conditional mapping. Of them, only 4 QTLs had significant a effect or ae effect at different stages of seed development. Among QTLs with significant a effect, five acted positively and six acted negatively on seed development. A total of 35 epistatic pairwise QTLs of 100-seed weight were identified by conditional mapping at different developmental stages. Five pairs of QTL showed the additive×additive epistatic (aa) effect and 16 QTLs showed the aa×environment interaction (aae) effect at the different developmental stages. QTLs with aa effect as well with their environmental interaction effect appeared to vary at different developmental stages. Overall, the results indicated that 100-seed weight in soybean is under developmental, genetic and environmental control.

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 CORRELATIONS AMONG GRAIN YIELD, YIELD AND WEED ATTRIBUTES OF MAIZE (ZEA MAYS L.) AS INFLUENCED BY WEED CONTROL METHOD AND POULTRY MANURE RATE IN KANO STATE NIGERIA

2020 ◽  
Vol 8 (4) ◽  
pp. 275-284
Author(s):  
Dr. Muhammad Sani Garko ◽  
K. D. Dawaki ◽  
M. A. Yawale ◽  
I. B. Mohammed ◽  
A. Y. Yaroson
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Weed Control ◽  
Seed Weight ◽  
Dry Matter ◽  
Control Method ◽  
Poultry Manure ◽  
Dry Matter Accumulation ◽  
Direct Contribution ◽  
100 Seed Weight

Field trials were conducted during the rainy season of 2017 at Teaching and Research Farm of Bayero University and Kano State Livestock development Centre Dangora. To determine the magnitude and nature of the association between growth characters and grain yield of maize, as well as the percentage contribution of each of this independent variable on the dependant variable (yield).The trails consist of six weed control methods, three levels of poultry manure and three varieties of maize. The experiment was laid out in a split-split plot design with variety allocated to the main plot, poultry manure to the sub-plot while weed control method to the sub-sub plot, and was replicated three times.  Grain yield correlated positively and significantly with growth and yield characters evaluated while weed dry weight and weed index were highly negatively correlated. The direct and indirect contributions results indicate that plant height had the highest direct contribution at BUK and Dangora in 2016 and Doka 2017 while plant dry matter accumulation had the highest direct contribution at Dangora in 2017. Cob diameter had the least direct effect in the study; the highest indirect effect was from cob diameter through plant height. The percentage individual contribution to grain yield showed that plant height made the highest contribution at BUK and Dangora in 2016, while cob diameter at both locations and plant dry matter at Dangora resulted in the least contribution. The combined contribution of dry matter and 100-seed weight was the highest positive contribution at BUK and that of plant height via 100-seed weight all in 2016 while cob length via 100-seed weight made the least negative contribution at BUK.

Sign in / Sign up

Export Citation Format

Share Document