Genetic worth of multiple sets of cowpea breeding lines destined for advanced yield testing

AbstractThe objective of this study was to determine genetic potentials in eight sets of cowpea lines for grain yield (GY), hundred seed weight (HSDWT) and days to 50% flowering (DT50FL). A total of 614 F6 genotypes constituting the sets, grouped by maturity, were evaluated across two locations in Northern Nigeria, in an alpha lattice design, two replications each. Data were recorded on GY, HSDWT and DT50FL.Variance components, genotypic coefficient of variation (GCV), and genetic advance (GA) were used to decode the magnitude of genetic variance within and among sets. Genetic usefulness (Up) which depends on mean and variance to score the genetic merits in historically bi-parental populations was applied to groups of breeding lines with mixed parentage. Principal component analysis (PCA) was used to depict contribution of traits to observed variations. GY and DT50FL explained the variance within and between sets respectively. Genotypes were significantly different, although genotype-by-location and set-by-location interaction effects were also prominent. Genetic variance (δ2G) and GCV were high for GY in Prelim2 (δ2G = 45,897; GCV = 19.58%), HSDWT in Prelim11 (δ2G = 7.137; GCV = 17.07%) and DT50F in Prelim5 (δ2G = 4.54; GCV = 4.4%). Heritability varied among sets for GY (H = 0.21 to 0.57), HSDWT (H = 0.76 to 0.93) and DT50FL (H = 0.20 to 0.81). GA and percentage GA (GAPM) were high for GY in Prelim2 (GAPM = 24.59%; GA = 269.05Kg/ha), HSDWT in Prelim11 (GAPM = 28.54%; GA = 4.47 g), and DT50F in Prelim10 (GAPM = 6.49%; GA = 3.01 days). These sets also registered high values of genetic usefulness, suggesting potential application in non-full sib populations. These approaches can be used during preliminary performance tests to reinforce decisions in extracting promising lines and choose among defined groups of lines.

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Phenotypic Divergence Analysis in Pigeonpea [Cajanus cajan (L.) Millspaugh] Germplasm Accessions

Agronomy ◽

10.3390/agronomy10111682 ◽

2020 ◽

Vol 10 (11) ◽

pp. 1682

Author(s):

Esnart Nyirenda Yohane ◽

Hussein Shimelis ◽

Mark Laing ◽

Isack Mathew ◽

Admire Shayanowako

Keyword(s):

Genetic Diversity ◽

Grain Yield ◽

Low Income ◽

Cajanus Cajan ◽

Seed Weight ◽

Principal Component ◽

Low Income Countries ◽

Study Objective ◽

Lattice Design ◽

Early Maturing

Pigeonpea (Cajanus cajan (L.) Millspaugh) is an important source of grain protein for low-income countries such as Malawi. Knowledge of the genetic diversity in pigeonpea is essential for an effective breeding program. The study objective was to assess the genetic diversity among diverse pigeonpea accessions to select complementary and unique genotypes for breeding. Eighty-one pigeonpea accessions were evaluated in six environments in Malawi using a 9 × 9 alpha-lattice design with two replications. The cross-tabulation analysis revealed a significant genotype variation on plant growth, flower, and seed traits. The combined analysis of variance identified genotypes MWPLR 14, ICEAP 01170, ICEAP 871091, and ICEAP 01285 as early maturing varieties, while Kachangu, MWPLR 16, TZA 5582, No. 40, and MWPLR 14 were identified as high-yielding genotypes. The correlation analysis revealed a significant positive correlation between grain yield and a hundred seed weight (HSWT) (r = 0.50, p < 0.01), suggesting the usefulness of this trait for selection. The nonlinear principal component analysis identified grain yield (GDY), days to 50% flowering (DTF), days to 75% maturity (DTM), number of pods per plant (NPP), number of racemes per plant (NRP), 100 seed weight (HSWT), leaf hairiness (LH), and number of seeds per pod (NSP) as the most discriminated traits among the test genotypes. The cluster analysis using morphological traits delineated the accessions into three clusters. The selected high-yielding and early-maturing genotypes may be recommended as parental lines for breeding and grain yield improvement in Malawi or similar agro-ecologies.

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Genetic Inconsistency Assessment and Selection Criteria of Bambara groundnut (Vigna subterranea L.Verdc.) Landraces for High Yield Revealed by Qualitative and Quantitative traits

10.21203/rs.3.rs-127584/v1 ◽

2020 ◽

Author(s):

Md Mahmudul Hasan Khan ◽

Mohd Y. Rafii ◽

Shairul Izan Ramlee ◽

Mashitah Jusoh ◽

Md Al-Mamun

Keyword(s):

Plant Height ◽

Seed Weight ◽

Quantitative Traits ◽

Agronomic Traits ◽

Crop Improvement ◽

Principal Component ◽

Bambara Groundnut ◽

High Yield ◽

Genetic Advance ◽

Vigna Subterranea

Abstract As a crop for the new millennium Bambara groundnut (Vigna subterranea L. Verdc.) considered as leading legumes in the tropical regions due to its versatile advantages. The main intent of this study was to find out the high yielding potential genotypes and considering these genotypes to develop pure lines for commercial cultivation in Malaysia. Considering the 14 qualitative and 27 quantitative traits of fifteen landraces the variation and genetic parameters namely, variability, heritability, genetic advance, characters association, and cluster matrix were determined. ANOVA revealed significant variation for all the agronomic traits (except plant height). Among the accessions, highly significant differences (P ≤ 0.01) were found for almost all the traits excluding fifty percent flowering date, seed length, seed width. The 16 traits out of the 27 quantitative traits had a coefficient of variation (CV) ≥ 20%. A positive and intermediate to perfect highly significant association (r = 0.23 to 1.00; P < 0.00) was found between yield and its related traits. The trait dry seed weight per plant (g) had the highest GCV = 59.91% and PCV = 59.57% whereas the trait fresh pod weight (99.55%), dry seed weight (98.86%), and yield (98.10%) were highly heritable. The genetic advance recorded the highest for dry seed weight (122.01%) and lowest (3.97%) for plant height. To validate the genetic disparity, an unweighted pair-group produce with arithmetic mean (UPGMA), principal component analysis (PCA), and Hˊ-index was performed considering 27 quantitative traits. The constructed dendrogram showed five distinct groups of accessions. Genotypes G2, G3, and G9 from Group IV consider as promising lines which gave 70.05% higher mean yield compared to grand mean yield (1180 kg ha-1) with desirable traits. Group II had a maximum number of accessions while group III and group V had one of each. However, findings declared that the availability of genetic variance will be beneficial for this crop improvement and plant breeders to prefer desirable traits in V. subterranea L. Verdc. for further breeding purposes.

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Genetic analysis and selection of Bambara groundnut (Vigna subterranea [L.] Verdc.) landraces for high yield revealed by qualitative and quantitative traits

Scientific Reports ◽

10.1038/s41598-021-87039-8 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Md Mahmudul Hasan Khan ◽

Mohd Y. Rafii ◽

Shairul Izan Ramlee ◽

Mashitah Jusoh ◽

Md Al Mamun

Keyword(s):

Plant Height ◽

Seed Weight ◽

Quantitative Traits ◽

Agronomic Traits ◽

Crop Improvement ◽

Principal Component ◽

Bambara Groundnut ◽

High Yield ◽

Genetic Advance ◽

Vigna Subterranea

AbstractAs a crop for the new millennium Bambara groundnut (Vigna subterranea [L.] Verdc.) considered as leading legumes in the tropical regions due to its versatile advantages. The main intent of this study was to find out the high yielding potential genotypes and considering these genotypes to develop pure lines for commercial cultivation in Malaysia. Considering the 14 qualitative and 27 quantitative traits of fifteen landraces the variation and genetic parameters namely, variability, heritability, genetic advance, characters association, and cluster matrix were determined. ANOVA revealed significant variation for all the agronomic traits (except plant height). Among the accessions, highly significant differences (P ≤ 0.01) were found for almost all the traits excluding fifty percent flowering date, seed length, seed width. The 16 traits out of the 27 quantitative traits had a coefficient of variation (CV) ≥ 20%. A positive and intermediate to perfect highly significant association (r = 0.23 to 1.00; P < 0.00) was found between yield and its related traits. The trait dry seed weight per plant (g) had the highest GCV = 59.91% and PCV = 59.57% whereas the trait fresh pod weight (99.55%), dry seed weight (98.86%), and yield (98.10%) were highly heritable. The genetic advance recorded the highest for dry seed weight (122.01%) and lowest (3.97%) for plant height. To validate the genetic disparity, an unweighted pair-group produce with arithmetic mean (UPGMA), principal component analysis (PCA), heatmap, and H’-index was performed considering 27 quantitative traits. The constructed dendrogram showed five distinct groups of accessions. Genotypes G2, G3, and G9 from Group IV consider as promising lines which gave 70.05% higher mean yield compared to grand mean yield (1180 kg ha−1) with desirable traits. Group II had a maximum number of accessions while group III and group V had one of each. However, findings declared that the availability of genetic variance will be beneficial for this crop improvement through cross breeding as well as the plant breeders to prefer desirable traits in V. subterranea L. Verdc. for further breeding purposes.

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Genetic Evaluation and Bi-plot Analysis in Okra Hybrids for Yield, Quality Components and YVMV Resistance

Journal of AgriSearch ◽

10.21921/jas.5.4.5 ◽

2018 ◽

Vol 5 (04) ◽

Author(s):

SS SOLANKEY ◽

ANIL K SINGH

Keyword(s):

Genetic Divergence ◽

Principal Component ◽

F1 Hybrids ◽

Genetic Advance ◽

Economic Traits ◽

Cross Combination ◽

Plot Analysis ◽

Eigen Value ◽

Coefficient Of Variability ◽

Yield Quality

Fifty one okra F1 hybrids (using 17 lines as female and 3 testers as male parent) were evaluated in RCBD design during two different consecutive seasons (summer and rainy). Phenotypic coefficient of variability (PCV) was higher than genotypic coefficient of variability (GCV) for all studied character exhibiting environmental effects on the expression of characters. Heritability (h2b) along with genetic advance per cent of mean was found highest for character YVMV (86.95% and 150.61%). All the 51 okra hybrids were grouped into 4 distinct clusters in which Cluster II was the largest cluster having 28 F1s (54.90% of total F1s) followed by Cluster I with 14 F1s (27.45% of total F1s). Out of the major 6 PCs, 4 principal components (PC1, PC2, PC3 and PC4) accounted with proportionate values of 22.61, 17.22, 11.87 and 10.63%, respectively and contributed 62.33 % of the cumulative variation having Eigen value more than one. Moreover, based on PCs and genetic divergence in Cluster I and Cluster IV for plant height, YVMV and number of fruit per plant is important to identify the best cross combination (Arka Abhay × Arka Anamika) in okra. Therefore, the best cross combinations for improvement in various economic traits can be recommended on the basis of genetic divergence and principal component analysis in okra.

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Modeling, comparison and evaluation of one-DOF six-bar bioinspired jumping leg mechanisms

Advances in Mechanical Engineering ◽

10.1177/1687814021992954 ◽

2021 ◽

Vol 13 (2) ◽

pp. 168781402199295

Author(s):

Ziqiang Zhang ◽

Qi Yang ◽

Xingkun Liu ◽

Chuanzhong Zhang ◽

Jinnong Liao

Keyword(s):

Center Of Mass ◽

Principal Component ◽

Analysis Method ◽

Index Distribution ◽

Inertial Moment ◽

Structure Index ◽

Mean And Variance ◽

Research Objects ◽

Leg Mechanisms ◽

Selection Of

One degree-of-freedom (DOF) jumping leg has the advantages of simple control and high stiffness, and it has been widely used in bioinspired jumping robots. Compared with four-bar jumping leg, six-bar jumping leg mechanism can make the robot achieve more abundant motion rules. However, the differences among different configurations have not been analyzed, and the choice of configurations lacks basis. In this study, five Watt-type six-bar jumping leg mechanisms were selected as research objects according to the different selection of equivalent tibia, femur and trunk link, and a method for determining the dimension of the jumping leg was proposed based on the movement law of jumping leg of locust in take-off phase. On this basis, kinematics indices (sensitivity of take-off direction angle and trunk attitude angle), dynamics indices (velocity loss, acceleration fluctuation, and mean and variance of total inertial moment) and structure index (distribution of center of mass) were established, and the differences of different configurations were compared and analyzed in detail. Finally, according to the principal component analysis method, the optimal selection method for different configurations was proposed. This study provides a reference for the design of one DOF bioinspired mechanism.

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GENETIC VARIATION AND SELECTION CRITERIA FOR SEED YIELD RELATED TRAITS IN RAPE SEED (Brassica napus L.)

Bangladesh Journal of Plant Breeding and Genetics ◽

10.3329/bjpbg.v26i2.23845 ◽

2015 ◽

Vol 26 (2) ◽

pp. 15-22

Author(s):

S. Parveen Parveen ◽

M. H. Rashid Rashid ◽

M. S. R. Bhuiyan

Keyword(s):

Coefficient Of Variation ◽

Seed Weight ◽

Positive Association ◽

Negative Association ◽

Genetic Advance ◽

Rape Seed ◽

Significant Positive Association ◽

Days To Maturity ◽

Additive Gene ◽

High Heritability

The field experiment was conducted to estimate the genetic variability and correlation between yield contributing traits using 15 rape seed genotypes. The results indicated that the phenotypic variance for all the characters was considerably higher than the genotypic variance denoting little influence of environmental factors on their expression. Characters like 1000-seed weight (12.39, 14.10), days to 50% flowering (18.36, 18.77) and days to maturity (4.63, 5.06) showed low genotypic and phenotypic coefficient of variation. Moderate genotypic and phenotypic coefficient of variation was observed in number of primary branches per plant (20.22, 22.16), length of siliqua (20.84, 20.97), number of seeds per siliqua (30.90, 33.06), number of siliquae per plant (49.34, 49.81) and yield per plant (34.36, 39.98) and high genotypic (67.00) and phenotypic coefficient of variation (68.57) was observed for number of secondary branches per plant. Plant height (85.98%, 30.89), 1000 seed weight (77.14%, 22.41), days to 50% flowering (95.66%, 20.35) and days to maturity (83.85%, 7.82) showed high heritability with low genetic advance which indicated the possibility of non-additive gene action. Number of primary branches per plant (83.22%, 37.99, 636.02), length of siliqua (98.83%, 42.68, 1084.42), number of seeds per siliqua (87.40%, 59.52, 424.22), number of siliqua per plant (98.15%, 100.71, 178.83) and yield per plant (73.87%, 60.84, 4539.97) showed high heritability with high genetic advance and high genetic advance in percentage of mean revealed the possibility of predominance of additive gene effects. Number of primary branches per plant had showed highly significant positive association with number of secondary branches per plant (rg=0.597, rp= 0.537) and yield per plant (rg=0.43). Days to 50% flowering showed significant positive association with seeds per siliqua (rg=0.492; rp=0.436), 1000 seed weight (rg=0.486; rp=0.472) and yield per plant (rg=0.438; rp=0.379). Length of siliqua manifested highly significant positive association with siliqua per plant (rg=0.571; rp=0.514) and significant negative association with yield per plant (-0.471) at genotypic level. Siliqua per plant had highly significant negative association at both genotypic and phenotypic level with yield per plant (-0.697; -0.525) but 1000 seed weight had highly significant positive association with yield per plant both genotypic and phenotypic level (0.893; 0.814). The results of the path analysis revealed that 1000 seed weight (0.766) had the maximum direct effect and the maximum negative direct effect was observed in seeds per siliqua (0.305). In summary, the results suggested that there were some yield related traits such as 1000 seed weight and days to 50% flowering could be selected and used in breeding program for increasing the grain yield of rapeseed.

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Assessment of wild tomato accessions for fruit yield, physicochemical and nutritional properties under a rain forest agro-ecology

Genetic Resources ◽

10.46265/genresj.bjcv8100 ◽

2020 ◽

Vol 1 (2) ◽

pp. 1-11

Author(s):

Dorcas Ibitoye ◽

Adesike Kolawole ◽

Roseline Feyisola

Keyword(s):

Rain Forest ◽

Agronomic Traits ◽

Block Design ◽

Principal Component ◽

Fruit Yield ◽

Soluble Solids ◽

Forest Zone ◽

Breeding Lines ◽

Wild Tomato ◽

Solanum Lycopersicum L

Tomato (Solanum lycopersicum L.) is a broadly consumed fruit vegetable globally. It is one of the research mandate vegetable of the National Horticultural Research Institute (NIHORT), Ibadan, Nigeria. The institute’s contains diverse collections of tomato accessions and wild relatives, without utilization information for the African continent. With the decline in diversity and potential of cultivars, a robust tomato breeding pipeline with broad genetic base that eliminates redundancy in the development of lines with desired horticultural traits is paramount. This study evaluated the mean performance and variations of thirteen wild tomato accessions obtained from the C.M. Rick Tomato Genetic Resource Center, University of California, Davis, USA, evaluated for agronomic, nutritional and physicochemical traits under a rain forest zone in Nigeria. The accessions were planted and grown in three replications with randomized complete block design. Agronomic traits, physicochemical and nutritional parameters were measured and analyzed. There was significant (P < 0.001) variation among accessions for all traits measured. Accession LA0130 was separated from others by cluster analysis and was outstanding for its unique attributes which include: fruit yield parameters, total soluble solids, acidity and content. The principal component analysis suggests fruit yield related traits, acidity and contributed most to the variation among the 13 accessions. The results obtained can be used to breed materials adapted to a rain forest . These wild tomato accessions have genes with desirable agronomic, nutritional and physicochemical traits that could be into breeding lines to improve commercial tomato varieties.

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Interrelationships and genetic analysis of seed yield and morphological traits in mini core collection of Iranian landrace, breeding lines and improved chickpea (Cicer arietinum L.) cultivars

Genetika ◽

10.2298/gensr1502383m ◽

2015 ◽

Vol 47 (2) ◽

pp. 383-393 ◽

Cited By ~ 2

Author(s):

Khosro Mohammadi ◽

Reza Talebi

Keyword(s):

Cicer Arietinum ◽

Seed Yield ◽

Seed Weight ◽

Morphological Traits ◽

Genetic Parameters ◽

Plant Biomass ◽

Breeding Lines ◽

Cicer Arietinum L ◽

100 Seed Weight ◽

Number Of Seeds

To determine the association between genetic parameters and morphological traits in chickpea (Cicer arietinum L.) genotypes, a field experiment was conducted with 49 different landrace, breeding lines and cultivated chickpea genotypes using a 7?7 lattice square design with 2 replications in the 2012-2013 growing season. Genetic parameters including genetic, environmental and phenotypic variances; coefficients of variation; heritability; correlation coefficients; factor analysis and path coefficients were estimated, and cluster analysis was performed. High heritability values observed in measured traits indicating that these traits are controlled mainly by additive genes and that selection of such traits may be effective for improving seed yield. Number of seeds per plant, 100-seed weight and plant biomass had a positive direct effect on seed yield. These traits also had positive and highly significant phenotypic correlations with seed yield. Using principal component (PC) analysis, the first three PCs with eigenvalues more than 1 contributed 70.94% of the variability among accessions. The germplasm were grouped into 3 clusters. Each cluster had some specific characteristics of its own and the cluster I was clearly separated from cluster II and III. Overall the results, it can be concluded that seed yield in chickpea can be improved by selecting an ideotype having greater number of seeds per plant, 100-seed weight and plant biomass.

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The Assessment of Functional Age Using “Activities of Daily Living” Performance Tests: A Study of Korean Women

Journal of Aging and Physical Activity ◽

10.1123/japa.3.1.39 ◽

1995 ◽

Vol 3 (1) ◽

pp. 39-53 ◽

Cited By ~ 32

Author(s):

Hee Sik Kim ◽

Kiyoji Tanaka

Keyword(s):

Activities Of Daily Living ◽

Older Women ◽

Older Adult ◽

Daily Living ◽

Principal Component ◽

Performance Tests ◽

Korean Women ◽

Principal Component Score ◽

Performance Tasks ◽

Adl Performance

The purpose of this study was to assess the extent to which a battery of 24 activities of daily living (ADL) performance tasks could be used to determine functional age in a sample of older women. The subjects were 253 older adult Korean women, aged 60 to 91 years. All subjects completed a comprehensive battery of 24 performance tests related to common activities of daily living. Correlations between the measures were computed, and principal component analysis was applied to the 24 × 24 correlation matrix. A principal component score was computed for each subject and was found to decrease significantly with advancing age. Multiple regression analysis revealed that out of the initial 24 variables, 5 variables accounted for 81% of the variability. An equation was developed to determine ADL age; the equation was considered useful for the assessment of daily living activities of older adult Korean women.

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Evaluation and genetic analysis of common bean genotypes (Phaseolus vulgaris L.) at Dibatie and Mandura, Northwestern Ethiopia

Journal of Agricultural Science and Food Technology ◽

10.36630/jasft_21004 ◽

2021 ◽

Vol 7 (5) ◽

pp. 82-90

Author(s):

Gezahegn Tefera ◽

Keyword(s):

Genetic Variability ◽

Common Bean ◽

Coefficient Of Variation ◽

Environmental Variability ◽

Genetic Constitution ◽

Genetic Advance ◽

Breeding Programs ◽

Days To Flowering ◽

Lattice Design ◽

Component Traits

Assessing and understanding the variations existing in crops due to genetic composition and environmental variability is very important in order to exploit the genetic constitution of crop plants. To this aim, variability measures such as phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) are commonly used. Heritability and genetic advance are major concerns for common bean to identify important traits for common bean genetic improvement. The field experiment was conducted at Mandura and Dibatie research substations working with sixteen genotypes of the common bean during 2017/2018 in lattice design with three replications to evaluate the performance of common bean genotypes and estimate the genetic variability. Heritability and genetic advance were estimated in relation to yield and its component traits for future breeding programs. Combined analysis of variance across locations revealed highly significant variations among genotypes for all traits under study. The PCV ranged from 3.36% for days to flowering to 15.91% for a number of pods per plant while the GCV value ranged from 0.75% for days to flowering to 13.74% for the number of pods per plant. Broad sense heritability values ranged from 5.00% for days to flowering to 84.61% for a hundred seed weight. Generally, the result of the study showed that significant genetic variability among tested genotypes and a simple selection for effective improvement of these traits. Keywords: common bean, genetic variability, genetic advance, heritability

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