Response of Cowpea [Vigna unguiculata (L.) Walp] Genotypes under Residual Moisture Condition in Rice-Fallow Area of Goa State, India

2020 ◽  
Author(s):  
K. K. Manohara ◽  
Shaiesh . .Morajkar ◽  
Yogini Shanbhag
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Residual Moisture ◽  
Dual Purpose ◽  
Moisture Condition ◽  
Straw Yield ◽  
Positive Direct ◽  
High Seed Yield

A field experiment was conducted during rabi season 2018-19 to study the response of 23 cowpea genotypes grown under residual moisture condition in rice-fallow situation of Goa state. Analysis of variance revealed significant differences among the genotypes for all the eleven characters, justifying the selection of genotypes for the study. The estimate of Phenotypic Coefficient of Variation (PCV) and Genotypic Coefficient of Variation (GCV) were high (>20%) for seed yield, straw yield, pods per plant and 100 seed weight. Heritability and genetic advance as per cent mean estimates were high for most of the characters except for days to 50 per cent flowering, days to maturity and plant height. Characters plant height, pods per plant, straw yield and harvest index showed positive and significant association with seed yield. Path analysis based on seed yield, as a dependent variable, revealed that straw yield and harvest index had the highest positive direct effect on seed yield. Therefore, maximum importance should be given to these traits during the selection for achieving the higher seed yield under rice-fallow situation. Three promising genotypes identified from this study viz., PCP-1131, SKAU-C- 407 and RC 101 would serve as dual-purpose cowpea under rice-fallow areas due to their high seed yield and straw yield

scholarly journals Relationships between seed yield and yield components in narbon bean (Vicia narbonensis L.) by path analysis

1970 ◽  
Vol 37 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Mevlüt Türk ◽  
Necmettin Çelik ◽  
Gamze Bayram ◽  
Emine Budakli
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Harvest Index ◽  
Stepwise Multiple Regression ◽  
Path Coefficient ◽  
Vicia Narbonensis ◽  
Biological Yield ◽  
Primary Selection ◽  
Positive Direct ◽  
Weight Number

Results of correlation analysis indicated that seed yield in narbon bean (Vicia narbonensis L.) was correlated positively with harvest index, biological yield, weight, number of seed and number of pod per plant and also plant height and number of plant per m2. Path coefficient analyses revealed that harvest index and biological yield had higher positive direct effects on seed yield than other variables. Stepwise multiple regression analysis showed that 95.1% of total variation in seed yield could be explained by the variation in harvest index, biological yield and plant height. Results suggest that harvest index and biological yield are primary selection criteria for improving seed yield in narbon bean.   

scholarly journals Genetic Variability, Correlation and Path Coefficient Analysis in Advanced Generation of Brassica napus L.

2019 ◽  
pp. 1-12
Author(s):  
Md. Nur-E-Nabi ◽  
Md. Ehsanul Haq ◽  
Montasir Ahmed ◽  
Md. Monir Hossain ◽  
Md. Shefat-al-Maruf ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Yield Potential ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Brassica Napus L ◽  
Positive Direct

The present study was conducted involving 62 F3 genotypes of Brassica napus L. at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka, Bangladesh to ponder the genetic variability, phenotypic, genotypic and environmental coefficient of variation, heritability and genetic advance, correlation, path coefficient and genetic diversity analysis in a randomized complete block design (RCBD) with sixty-two genotypes (treatments) with three replications during November 2014 to February 2015. The investigations aimed to select the best segregating genotypes for the yield improvement of Brussica napus (rapeseed). Analysis of variance indicated that the genotypes were found significantly different for all the characters considered. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits investigated. The high GCV value was observed for the number of siliqua per plant (NSP), plant height (PH), silique length (SL), number of seed per silique (NSS) and seed yield per plant (SYP) indicated high broad sense heritability. The significant positive correlation with seed yield per plant (SYP) was found in plant height (PH) (0.368**), the number of primary branches per plant (NPB) (0.332**), number of secondary branches per plant (NSB) (0.382**), number of silique per plant (NSP) (0.549**), and siliqua length (SL) (0.037**). The results of path coefficient analysis uncovered that plant height (PH) (0.582), days to 50% flowering (50F) (0.390), days to maturity (DM) (0.575), number of primary branches per plant (NPB) (0.678), number of secondary branches per plant (NSB) (0.182),and thousand seed weight (TSW) (0.289) had a positive direct impact on seed yield per plant (SYP) and thus it was concluded that these traits could be exploited for the enhancement of yield potential of rapeseed. This study showed that based on the agronomic performance execution, genotypes G8, G14, G19, G21, G47, and G55 might be proposed for future hybridization program in Bangladesh and this could help rapeseed breeders to upgrade their breeding activities.

The Influence of nano-TiO2 and Nano-Silica Particles Effects on Yield and Morphological Traits of Sunflower

Helia ◽  
2018 ◽  
Vol 41 (69) ◽  
pp. 213-225
Author(s):  
Naser Sabaghnia ◽  
Abdollah Javanmard ◽  
Mohsen Janmohammadi ◽  
Mojtaba Nouraein
Keyword(s):  
Ascorbic Acid ◽  
Titanium Dioxide ◽  
Seed Yield ◽  
Harvest Index ◽  
Kernel Weight ◽  
Nano Silica ◽  
Straw Yield ◽  
Nano Titanium Dioxide ◽  
Number Of Seeds ◽  
High Seed Yield

AbstractPresent study is performed to evaluate the effects of foliar application of salicylic acid, glycine betaine, ascorbic acid, nano-silica and nano titanium dioxide on yield and yield component of sunflower. Chlorophyll content, leaf length, leaf width, days to 50 % flowering, day to maturity, plant height, husk percentage, number of seeds per head, head number per plant, percentage of empty achenes, 1000-seed weight, kernel weight, grain length, straw yield, harvest index, grain yield and oil percent were measured. Results showed that the first two principal components accounted 49 % and 19 %, respectively of sums of squares of the TT interaction and were used to create a two-dimensional treatment by trait (TT) biplot. The vertex treatments in polygon of TT biplot were ascorbic acid, glycine betaine, nano-TiO2 and control which Nano-Ti2 treatment indicated high performance in chlorophyll content, day to maturity, number of seeds per head, head number per plant, kernel weight, grain length, straw yield, harvest index, grain yield and oil percent. The identification of ideal treatment, the treatment that is most favorable treatment among all treatments, showed that the nano-TiO2 might be used in selecting superior traits and it can be considered as the candidate treatment. Treatments suitable for obtaining of high seed yield were identified in the vector-view function of TT biplot and displayed nano-silica and nano titanium dioxide as the best treatments suitable for obtaining of high seed yield. In short, nano-fertilizer could increase crop yields and improve the fertilizer efficiency.

scholarly journals Genetic Diversity, Correlations and Path Coefficient Analysis among the F5 Populations of Brassica Species

2021 ◽  
pp. 20-31
Author(s):  
Sujon Kumar ◽  
Barkat Ali ◽  
A. B. M. Khaldun ◽  
Shams Shaila Islam ◽  
M. Shalim Uddin ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Brassica Species ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Estimate Heritability ◽  
Positive Direct ◽  
Pod Length

The present study was carried out to estimate heritability, genetic variability, correlation and genetic advance among F5 populations of ten genotypes in Brassica species. This study was executed following randomized complete block design (RCBD) with three replications during November 2017 to February 2018 at the experimental field of College of Agricultural Sciences, International University of Business Agriculture and Technology, Dhaka, Bangladesh. Aim of the research was to evaluate and select the best segregating genotypes for the yield and yield contributing traits towards variety development programs. Analysis of variance revealed that the genotypes were significantly different for all the characters studied. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits studied. The high GCV value was observed for the days to 50% flowering (FF), plant height (PH), primary branches per plant (PBP), pod per plant (PP) and seed yield per plant (SYP) that indicated a high broad-sense heritability. A significant positive correlation with seed yield per plant was found in days to 50% flowering (0.578**), the plant height, (0.787**), pod length (PL) (0.406*), seeds per plant (SP) (0.369*), pod per plant (0.697**) and hundred seeds weight (HSW) (0.500**), but significantly negative correlation found in primary branches per plant (-0.046*). The results of path coefficient analysis revealed that days to 50% flowering (0.287), plant height (0.407), pod length  (0.919), seeds per plant (0.033), pod per plant (0.035) and hundred seeds weight (0.795) had a positive direct impact on seed yield per plant and thus it was indicated that these traits could be exploited for the enhancement of yield performance of Brassica species. This study showed that based on the agronomic performance execution, genotypes G2, G5, G6 and G8 might be proposed for future hybridization programs in Bangladesh followed by variety development activities.

scholarly journals Quinoa (Chenopodium Quinoa Willd.) – a Potential New Crop in Bangladesh: Agronomic Performance With Sowing Date

2020 ◽  
Vol 23 (1) ◽  
pp. 67-73
Author(s):  
PK Biswas ◽  
ZA Tanni
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Sowing Date ◽  
Branch Number ◽  
Yield Attributes ◽  
Straw Yield ◽  
Sowing Dates ◽  
New Crop

The experiment was conducted at Sher-e-Bangla Agricultural University, Dhaka with the financial support of SAURES (Sher-e-Bangla Agricultural University Research System) to study the possibility of growing quinoa in Bangladesh with different sowing dates having two cultivars. The experiment comprised of two factors; Factor A: Cultivar (2) viz., Titicaca (C1) and Vikinga (C2) and Factor B: Sowing date (5) viz. November -10 (S1), December -10 (S2), January -10 (S3), February -10 (S4) and March -10(S5). The experiment was laid out in split-plot design with three replications. Results revealed that different growth parameters, yield attributes and yield were significantly varied with different sowing dates. At harvest, the tallest plant height (63.75 cm), highest seed yield (0.77 t ha-1) and straw yield (0.89 t ha-1) was found from Titicaca but the higher number of branches plant-1 (17.71) from Vikinga. The tallest plant height (62.54 cm), highest branch number plant-1 (22.82), longest inflorescence (29.62 cm), highest 1000-seed weight (2.56 g), seed yield (1.09 t ha-1), straw yield (1.25 t ha-1) and harvest index (46.58%) was exhibited by November -10 sowing. The interaction effect of Titicaca sown in November -10 (C1S1) resulted the highest plant height at harvest (72.83 cm), branches plant-1 (25.20), 1000-seed weight (2.58 g), seed yield (1.16 t ha-1) and straw yield (1.33 t ha-1) but the highest inflorescence length (31.46 cm) and harvest index (47.02%) from C2S2 (Vikinga sown in December – 10). From the above results it can be concluded that quinoa – as a new crop is suitable to cultivate in Rabi season of Bangladesh with a complete agronomic management package. Bangladesh Agron. J. 2020, 23(1): 67-73

Studies on Variability Parameter and Character Association of Lentil Germplasms in West Bengal Condition

2020 ◽  
Author(s):  
P. Bhattacharjee ◽  
S. Kundagrami ◽  
A. Bhattacharjee
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
West Bengal ◽  
Block Design ◽  
Crop Improvement ◽  
Flowering Plant ◽  
Positive Direct ◽  
100 Seed Weight

Background: Lentil is the major cultivated pulse crop in the state of West Bengal in terms of total area coverage under cultivation. Selection of high yielding and better quality genotype is the prime vital matter to increase productivity. Investigation and a better understanding of the variability existing in a population base of the crop are pivotal to crop improvement so that the plant breeders can exploit it. Methods: The current study has been carried out at the experimental farm of the University of Calcutta during 2016-2017 in a plot designed with the randomized block design. It was carried out to estimate the magnitude of genetic variability, heritability and genetic advance of fifty-four lentil germplasms. Result: Moderate to high heritability, GCV, PCV, GA and GA % of mean was obtained by days to1st flowering, days to 50% flowering, pods per plant and harvest index. The genotypic and phenotypic association of seed yield was significantly positive with traits like plant height, pods/plant, 100 seed weight and harvest index. Characters like days to 50% flowering, plant height, primary branches per plant, pods/plant, pod length, 100 seed weight and harvest index shows a positive direct effect on seed yield in path analysis suggesting select for such traits while exercising selection for seed yield per plant in lentil.

scholarly journals Discriminant function analysis for opium and seed yield in opium poppy (Papaver somniferum L.)

Genetika ◽  
2008 ◽  
Vol 40 (2) ◽  
pp. 109-120
Author(s):  
H.K. Yadav ◽  
S. Shukla ◽  
S.P. Singh
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Function Analysis ◽  
Positive Association ◽  
Papaver Somniferum ◽  
Yield Component ◽  
Opium Poppy ◽  
Dual Purpose ◽  
Single Character ◽  
Selection Indices

Opium poppy (Papaver somniferum L.) is an important medicinal plant of pharmacopoel uses. Opium latex and its derivatives are used in different medicines as analgesic, narcotic, sedative, sudorific, hyponitic, antispasmodic, ant diarrhea and cough etc. Genetic improvement in opium and seed yield, component breeding is important and selection based on multiple characters is more beneficial in developing desired plant types. Therefore the present study was made on group of 22 strains of opium poppy to find out variability and suitable selection indices for opium and seed yield. Heritability in broad sense was high for capsule weight/plant, plant height, capsule length, stem diameter and opium yield. The discriminant functions based on single character were less efficient while on the basis of combination it was in general more efficient. The comparison of different functions revealed that capsule weight/plant, capsule length, plant height are major yield component and thus practicing selection for attainment of high opium and seed yield lines, maximum weight age could be given to these characters. The positive association of opium yield and seed yield suggested that by adopting suitable component breeding and selection, a dual-purpose variety (opium and seed yield) may be developed.

scholarly journals Genetic Analysis of Some Genotypes of Indian Mustard (Brassica juncea L.) for Yield and Yield Attributing Traits

2021 ◽  
pp. 51-60
Author(s):  
A. M. Pradhan ◽  
M. Roy Choudhury ◽  
A. Sawarkar ◽  
S. Das
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Indian Mustard ◽  
Correlation Study ◽  
Biotic And Abiotic Stress ◽  
Randomized Block Design ◽  
Additive Gene ◽  
Positive Direct

The current investigation was carried out to examine the selection criteria for yield improvement in selected genotypes of Indian mustard. Twenty-four genotypes of Indian mustard were evaluated for seed yield and yield attributing characters with randomized block design with three replications. The analysis of variance showed significant differences among all the 24 genotypes against all the characters. The phenotypic and genotypic coefficient of variation were higher for most of the traits like seed yield per plant, number of secondary branches per plant and number of siliquae per plant. High heritability coupled with high genetic advance in percent of mean was registered for number of siliquae per plant, number of primary and secondary branches per plant, plant height, 1000 seed weight, siliqua length per plant and seed yield per plant suggesting predominant role of additive gene action for expression of these traits. The correlation study revealed that seed yield per plant was positively and significantly correlated with number of primary and secondary branches per plant, number of siliquae per plant, siliqua length per plant and 1000 seed weight at both phenotypic and genotypic level. The traits namely, number of secondary branches per plant recorded as highest positive direct effect followed by number of seeds per siliqua, number of siliquae per plant and plant height. Therefore, they may be carried out further evaluation in multilocational trials, biotic and abiotic stress like environmental conditions to check their stability and adaptability.

scholarly journals GENETIC VARIABILITY, CHARACTER ASSOCIATION AND PATH ANALYSIS OF YIELD AND ITS COMPONENT TRAITS IN MAIZE (Zea mays L.)

2016 ◽  
Vol 29 (1) ◽  
pp. 21-30
Author(s):  
M. N. Huda ◽  
M. S. Hossain ◽  
M. Sonom
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Path Analysis ◽  
Plant Height ◽  
Direct Effect ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Male Flower ◽  
Maize Genotypes ◽  
Positive Direct

The experiment was conducted in the experimental area of Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka during March to June, 2014 to study the genetic variability, correlation and path co-efficient analysis for yield and yield contributing characters of maize. In this experiment 25 maize genotypes were used as experimental materials. The experiment was laid out in Randomized Complete Block Design (RCBD) with three replications. Mean performance, variability, correlation matrix and path analysis on different yield contributing characters and yield of maize genotypes were estimated. The highest grain yield/plant (272.21 g) was recorded in the genotype of BARI Hybrid Maize-6, whereas the lowest grain yield/plant (180.40 g) from the genotype of NZ-003. Phenotypic coefficient of variation was higher than the genotypic coefficient of variation for all the yield contributing traits. In correlation study, significant positive association was recorded for grain yield/plant of maize genotypes with plant height (0.235), tassel height (0.359), number of grains/cob (0.854), cob length (0.390), cob diameter (0.313) and weight of 1000-grains (0.689). Path analysis revealed that days to initiation of male flower had positive direct effect (0.132), days to initiation of female flower had negative direct effect (-0.254), days to maturity had positive direct effect (0.178), plant height had positive direct effect (0.314), tassel height had positive direct effect (0.234), ear length had positive direct effect (0.197), number of grains/cob had negative direct effect (-0.095), cob length had positive direct effect (0.167), cob diameter had positive direct effect (0.168) and that weight of 1000-grains had positive direct effect (0.217) on yield / plant.

Genetic correlation and coheritability between F1 and F2 generations for quantitative traits in some crosses of green gram (Vigna radiata L. Wilczek)

2011 ◽  
Vol 59 (1) ◽  
pp. 57-63
Author(s):  
S. Chakraborty ◽  
H. Borah ◽  
B. Borah ◽  
D. Pathak ◽  
A. Zaman ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Vigna Radiata ◽  
Harvest Index ◽  
Green Gram ◽  
Phenotypic Correlations ◽  
Genotypic And Phenotypic Correlations ◽  
Additive Gene ◽  
Pod Length

Quantitative data were collected and analysed on 10 metric characters from F1s and F2s of sixteen green gram (Vigna radiata L. Wilczek) hybrids, developed from ten genetically diverse parents, to obtain information on variability, heritability, coheritability, and genotypic and phenotypic correlations. The increased genetic variability of F2 over F1 was observed for plant height, number of primary branches, pods/cluster, pods/plant, pod length and harvest index, suggesting the greater segregation and recombination of genes governing these characters. The high broad-sense heritability coupled with high genetic advance for plant height, days to 50% flowering and pod length in both F1s and F2s indicated the predominant role of additive gene action in their expression. The genotypic and phenotypic correlations between F1 and F2 were significant and positive for seven characters. The coheritability estimates between F1 and F2 had values of over 0.25 and were positive for six characters, but not for seed yield/plant, days to 50% flowering, clusters/plant or pods/plant. Within the F1 and F2 generations, seed yield/plant showed significant positive genotypic and phenotypic correlations with eight characters. The seed yield in green gram could be easily enhanced by practising selection on plant height, number of primary branches, pods/cluster, pod length and harvest index.

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