scholarly journals Varietal Evaluation and Clustering of Early Maize Genotypes in Mid-Western Hilly Region of Nepal

2020 ◽  
Vol 77 (2) ◽  
pp. 24
Author(s):  
Bishnu Prasad KANDEL
Keyword(s):  
Genetic Diversity ◽  
Block Design ◽  
Yield Component ◽  
Research Station ◽  
Maize Genotypes ◽  
Hilly Region ◽  
Randomized Complete Block Design ◽  
Component Traits ◽  
Yield Component Traits ◽  
Selection Of

Eleven early maize (Zea mays) genotypes were evaluated for their yield and yield component traits at the research block of Regional Agriculture Research Station (RARS) Lumle, Kaski, Nepal during Kharif season of 2016. The experiment was laid out in randomized complete block design (RCBD) with three replications. Results showed that all the studied genotypes differed significantly for grain yield as well as other yield component traits except number of kernel per row. Out of tested genotypes COMPOZ-NIPB, EEYC1, POP-445/POP-446 were three top performer genotypes yielding 6.89, 5.38 and 5.19 t ha-1. Early mid Katamari, Rajahar local, Manakamana-5, EEYC1 were statistically at par with Arun-4(standard check) and will be needed further evaluation and improvement by a selection of desirable traits. Eleven genotypes occupied three different clusters and showed that early maize genotypes suggest considerable genetic diversity among themselves. Genotypes belong to cluster one having the highest yield potentials so need to be further evaluation in different location of mid hill and recommended best variety for that domain.

Stability analysis for various quantitative traits insoybean [Glycine max (L.) merrill]

2016 ◽  
Author(s):  
Gunjan Tiwari ◽  
Kamendra Singh ◽  
Pushpendra ◽  
N. K. Singh
Keyword(s):  
Quantitative Traits ◽  
Block Design ◽  
Yield Component ◽  
Genotype X Environment ◽  
Stability Performance ◽  
Randomized Complete Block Design ◽  
Component Traits ◽  
Glycine Max L ◽  
Per Se ◽  
Yield Component Traits

The present investigation was carried out to study stability performance over twelve environments for yield and yield contributing characters in twenty two genetically diverse genotypes of soybean using a randomized complete block design. The partitioning of (environment + genotype x environment) mean squares showed that environments (linear) differed significantly and were quite diverse with regards to their effects on the performance of genotypes for yield and its components. Stable genotypes were identified for wider and specific environments with high per se performance (over general mean) for majority of yield component traits. The investigation revealed that the genotypes ABL 55, ABL 20, ABL 62 and ABL 45 were desirable and stable across the environments for different yield contributing traits. Other genotypes ABL 43 and ABL 17 were found to be suitable for favourable situations, while genotypes ABL19 were adapted to poor environments for yield and majority of yield contributing traits.

scholarly journals Combining ability and heterotic value of ten lines maize genotypes tolerant to tidal-swamp soil stress

2021 ◽  
Vol 911 (1) ◽  
pp. 012024
Author(s):  
Suwarti ◽  
Munif Ghulamahdi ◽  
Muhammad Azrai ◽  
Didy Sopandi ◽  
Trikoesoemaningtyas ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Parental Line ◽  
Research Station ◽  
Acid Sulphate Soils ◽  
Tidal Swamp ◽  
Maize Genotypes ◽  
Randomized Complete Block Design ◽  
Target Environment ◽  
Half Diallel

Abstract Development of maize hybrid for tidal swampland was initiated by selecting and combinate some superior line genotypes that tolerate to the restrictions in target environment. This study aimed was to evaluate the capability of ten maize lines result of selection on tidal swamp acid sulphate soils to obtain GCU, GCA, and heterosis values based on parental yield averages. The experiment has consisted of ten fine line genotypes which have selected in 2019 at the tidal swamp. Each parent was crossed in half-diallel combination, resulting in 46 entries, including the inbred parents. The entries were planted in a randomized complete block design with three replications. The research was conducted on Bajeng Research Station Experiment 5°18’S and 119°30’E from September 2020 to January 2021. The result shows that GCA ability and SCA ability was significant to yield in the form of grain (15% moisture content), the number of ear per plot, ten ear weight, ten corncob weight, ear harvested weight, 1000 seeds weight, plant height, ear length and the number of seed per ear. Grain yield of W6xW9 crosses obtains the highest value of 9.36 tha−1, non-significantly different to hybrid check P35 (9.35 tha-1). The highest GCA value in the grain yield character was obtained on W9 parental line (0.64**). The highest SCA was obtained on the crossing of W7 x W8 (2.61). The highest heterosis value was revealed in W5 x W10 hybrid (4.80). However, W7 x W8 crossing heterosis value was 2.34, indicate that a high SCA effect did not usually generate high heterosis. To perform high heterosis value, W10 was good as female parental.

scholarly journals Diversity of capsaicin content, quantitative, and yield components in chili (Capsicum annuum) genotypes and their F1 hybrid

2020 ◽  
Vol 21 (5) ◽  
Author(s):  
Zulfikar D Sahid ◽  
MUHAMAD SYUKUR ◽  
AWANG MAHARIJAYA
Keyword(s):  
Genetic Diversity ◽  
Capsicum Annuum ◽  
Block Design ◽  
Genetic Material ◽  
Morphological Characters ◽  
Fruit Weight ◽  
Yield Component ◽  
Quantitative Yield ◽  
F1 Hybrid ◽  
Randomized Complete Block Design

Abstract. Sahid ZD, Syukur M, Maharijaya A. 2020. Genetic diversity of capsaicin content, quantitative, and yield component in chili (Capsicum annuum) and their F1 hybrid. Biodiversitas 21: 2251-2257. Chili (Capsicum annuum L.) is one of the horticultural plants that have many benefits. The benefit of chili was determined by pungency level of its fruit. Pungency level of the chili is due to the capsaicin content in fruit. Information about the genetic diversity of capsaicin is still rarely available. The aims of this study were to obtain diversity information on quantitative, yield component, and capsaicin content, and to analyze the correlation among chili genotypes based on their morphological characters. This study used Randomized Complete Block Design with three replications. The genetic material used in this study consisted of 21 genotypes consisting of 6 genotypes of chili elders and 15 hybrid F1 genotypes resulting from their crossing. Six genotypes of the chili parents are C5, F6074, F9160291, Yuni, Bara, and Giant. 15 hybrid F1 genotypes used in this study are C5 x Bara, C5 x F6074, C5 x Yuni, C5 x Giant, C5 x F9160291, Bara x F6074, Bara x Yuni, Bara x Giant, Bara x F9160291, F6074 x Yuni, F6074 x Giant, F6074 x F9160291, Yuni x Giant, Yuni x F9160291, and Giant x F9160291. The observation was made on the variables of quantitative, yield, and capsaicin components on chili. The results showed that the highest capsaicin content only was found in Bara x F9160291. The results of scatterplot analysis showed that the highest capsaicin and yield component was found in BaraxF6074 and C5 x Yuni genotype. The results of cluster analysis showed that chili was clustered into three color groups. The character of capsaicin content is negatively correlated and very different from fruit weight, fruit diameter, fruit length, thick fruit flesh, total amount of fruit per plant, and fruit weight per plant.

scholarly journals Performance evaluation of early maize genotypes in far western hills of Nepal

2015 ◽  
Vol 1 (1) ◽  
pp. 106-111
Author(s):  
Hari Kumar Prasai ◽  
Ujjawal Kumar Singh Kushwaha ◽  
Bishnu Prasad Joshi ◽  
Jiban Shrestha
Keyword(s):  
Performance Evaluation ◽  
Statistical Analysis ◽  
Research And Development ◽  
Agricultural Research ◽  
Block Design ◽  
Initial Evaluation ◽  
Research Station ◽  
Maize Genotypes ◽  
Randomized Complete Block Design ◽  
Evaluation Trial

Initial evaluation trial of maize (early) genotypes was carried out at Regional Agricultural Research Station, Doti, Nepal in 2013 and 2014. Total fourteen and fifteen genotypes of early maize were included in initial evaluation experiment of the year 2013 and 2014 respectively. The experiment was laid out in randomized complete block design (RCBD) with three replications in each year. Out of the tested genotypes, SO3TEY/LN, ZM 423 and SO3TEY-FM (ER) identified as promising from statistical analysis over year. All the tested characters were found statistically significant. Similarly, the coordinated varietal trial of maize (early) was also carried out in the same station at 2013 and 2014. Total fourteen genotypes in 2013 and fifteen genotypes in 2015 of maize (early) were included in the experiment. The RCB design was applied and the experiment was replicated three times in every year. ZM 627 and ZM 621/Pool -15 genotypes identified as superior next to Arun-2 from the analysis of two year data. All the tested traits were found statistically significant in over year analysis.Journal of Maize Research and Development (2015) 1(1):106-111DOI: http://dx.doi.org/10.5281/zenodo.34291

scholarly journals Assessment of growth and productivity of five peanut cultivars and genetic diversity using RAPD markers

2019 ◽  
Vol 43 (1) ◽  
Author(s):  
Ghada M. Samaha ◽  
M. A. Ahmed ◽  
Asmaa R. Abd El-Hameid
Keyword(s):  
Genetic Diversity ◽  
Vegetative Growth ◽  
Rapd Markers ◽  
Seed Quality ◽  
Growth Traits ◽  
Block Design ◽  
Growth Yield ◽  
Yield Component ◽  
Peanut Cultivars ◽  
Yield Component Traits

Abstract Background This study was conducted to evaluate the genetic diversity of five peanut cultivars grown under field conditions. A field experiment was conducted using five peanut cultivars (Giza-5, Giza-6, Ismailia-1, Gregory, and R92) in a randomized complete block design with five replications during two following seasons to estimate the performance of five peanut cultivars for vegetative growth, yield, and yield component traits as well as seed quality traits. Twenty RAPD primers were used to identify a unique fingerprint for each of five cultivars. Results Giza-6 cultivar surpassed all the tested peanut cultivars in the most vegetative growth traits and yield and its components traits, while the lowest values were observed in Giza-5 cultivar. The dendrogram constructed from RAPD analysis showed that Gregory and Giza-5 were the most distant among five peanut cultivars. Conclusions RAPD markers are useful in the detection of genetic diversity of peanut. The availability of genetic diversity is important for the genetic improvement of peanut.

scholarly journals Response of wheat yield and its components to zinc and iron application under different levels of nitrogen

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Gheith El-Sayed ◽  
◽  
Ola El-Badry ◽  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Plant Height ◽  
Block Design ◽  
Wheat Yield ◽  
Grain Protein Content ◽  
Yield Component ◽  
Grain Protein ◽  
Research Station ◽  
Randomized Complete Block Design

To evaluate the effect of nitrogen, zinc and iron as soil application on yield and yield component of wheat, the present study was conducted at Agricultural and Experimental Research Station at Giza, Faculty of Agriculture Cairo University, Egypt during 2015/2016 and 2016/2017 seasons. The experimental design was split-plot in randomized complete block design with three replications. Results showed that positive significant effect on plant height, number of spike/m2, spike length; number of grain per spike, grain yield per unit area in both seasons and grain protein content in one season were achieved by application of N and the micronutrients. Whoever, the highest significant in the above mentioned characters was obtained either by application the highest N levels (100kg N /fed.) or in addition to mixture of Zn and Fe. The interaction between the studied factors had significant effect on plant height and grain yield in both seasons as well as on grain protein content in the second season, where the highest values of these parameters were recorded by application of 100kg N/fed., Zn and Fe in mixture.

scholarly journals Genetic Diversity of Butterfly Pea [Clitoria ternatea] from Indonesia Based on Flower and Yield Component Traits in Two Land Conditions

2020 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Trixie A. Ulimaz ◽  
Debby Ustari ◽  
Virda Aziza ◽  
Tarkus Suganda ◽  
Vergel Concibido ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Principal Component ◽  
Yield Component ◽  
Breeding Program ◽  
Clitoria Ternatea ◽  
Fresh Flower ◽  
Underutilized Crop ◽  
Component Traits ◽  
Butterfly Pea ◽  
Yield Component Traits

<p>Genetic diversity among the butterfly pea genotypes is important information to support breeding program of this underutilized crop. The important characters to be targeted in the breeding program of this crop included yield and yield components of flowers that are strongly affected by the environment and have not been previously reported. This study aimed to determine the genetic diversity of butterfly pea (Clitoria ternatea L.) from Indonesia tested in two land conditions, namely dryland and former paddy fields, based on flower character and yield component traits. The results showed that butterfly pea accessions were divided into two main clusters with dissimilarity coefficient of 0.01–3.99 indicating wide genetic diversity across  accessions. The Mantel correlation showed that the genetic distance among accessions studied were not significantly correlated (r = 0.044, P = 0.8709). Based on principal component analysis (PCA), the eigenvalue ranged from 1.69 to 3.34 with a cumulative contribution of 72.64%. The traits that influenced genetic diversity in this study were flower length, weight of one fresh flower, total weight of pods, and weight of 100 seeds. The results of this study should be useful to support future butterfly pea breeding program.</p>

scholarly journals Selection of parental lines among round fruited brinjal for hybridization aiming at export promotion

2017 ◽  
Vol 9 (1) ◽  
pp. 451-455
Author(s):  
Varun Durwas Shende ◽  
Tania Seth ◽  
Subhra Mukherjee ◽  
Arup Chattopadhyay
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Yield Component ◽  
Fruit Yield ◽  
Component Traits ◽  
Parental Lines ◽  
Yield Component Traits ◽  
Marketable Fruit ◽  
Selection Of

Selection of parental lines for considering export trade in hybridization programme is a new approach in brinjal breeding. Eight quantitative characters were taken to estimate genetic variation and relationships among twenty seven genotypes of round fruited brinjal, and to identify potential donors for the development of recombinants suitable for export. Analysis of variation revealed considerable level of variability among the genotypes. High broad sense heritability (˃80 %) and genetic advance as per cent of mean (˃20 %) were observed for the maximum number of traits under study. Among the yield components, only number of marketable fruits per plant showed positive and significant correlation (r = 0.771 and 0.725 at genotypic and phenotypic level, respectively) with marketable fruit yield per plant. However, number of marketable fruits per plant (1.24) followed by average fruit weight (0.834) ex-hibited maximum positive direct effects on marketable fruit yield per plant suggesting to give emphasis on these traits while imposing selection for amenability in fruit yield of round fruited brinjal. Principal component analysis showed the amount of variation by principal components 1 to 4 viz., 26.75, 49.98, 69.81 and 84.28 %, respectively. Divergence analysis based on various yield component traits grouped 27 brinjal genotypes into nine main clusters. Dendrogram based on hierarchal clustering grouped genotypes based on their yield component traits rather than their geographic origin. Based on averages and principal component analysis, six genotypes (BCB-30, Deshi Makra, Gujrat Brinjal Round, 09/BRBWRes-3, BCB-10, 10/BRRVar-2) appeared to be promising donors for use in export oriented breeding programme.

Principal Component and Genetic Diversity Analysis for Seed Yield and Its Related Components in the Genotypes of Chickpea (Cicer arietinum L.)

2021 ◽  
Author(s):  
S.K. Jain ◽  
L.D. Sharma ◽  
K.C. Gupta ◽  
Vipin Kumar ◽  
R.S. Sharma
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Total Variation ◽  
Hierarchical Clustering ◽  
Seed Yield ◽  
Block Design ◽  
Principal Component ◽  
Experimental Unit ◽  
Component Traits ◽  
Selection Of

Background: The seed yield of chickpea can be improved by selection of superior genotypes on the basis of different yield and yield component traits. These genotypes exclusively utilize in breeding programs. Yield is a complex trait which is affected by several factors, hence, a well-known technique known as principal component analysis was used to identify and minimize the number of traits for effective selection. To obtain efficient recombinants, the identified component traits need to be combined from diverse parents through recombination breeding followed by selection of transgressive segregants. Hence, the present study is envisaged to measure the genetic diversity among genotypes of chickpea.Methods: The experimental material comprised of 40 chickpea genotypes evaluated in randomized block design with three replications. The experimental unit was four rows per plot with 4 m length and spacing between row to row and plant to plant maintained as 30 x 10 cm. NPK (20:40:00) fertilizers was applied as basal doses. The data were recorded for each genotype on nine quantitative traits as per standard methods. Descriptive statistics and PCA analysis was performed by using the statistical package SPSS 16.0 version and cluster analysis was done using the Wards method of hierarchical clustering technique.Result: Out of nine PCs only three PCs exhibited more than 1.0 Eigen value and showed about 73.4% variability. PC1 contributed 28.6% of the total variation and correlated with days to flowering, days to maturity, plant height, first pod height, seeds per pod and number of pods per plant while PC2 explained 21.00% of the total variation and dominated by plant height, first pod height and seed yield. PC3 explained an additional 13.00% of the total variation and dominated by primary branches per plant. Genotype commonly found in more PC, were BG 4016, IPCB 2015-165, IPC 2011-247, GNG2459 and RKG 19-4. Hierarchical clustering technique grouped 40 genotypes into two main clusters (A and B) and nine sub clusters. The present investigation depicted that the chickpea germplasm displayed considerable genetic diversity for most of the traits under consideration. 

scholarly journals Evaluation of early maize genotypes for grain yield and agromorphological traits

2018 ◽  
Vol 3 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Bishal Dhakal ◽  
Keshav Prasad Shrestha ◽  
Bishnu Prasad Joshi ◽  
Jiban Shrestha
Keyword(s):  
Grain Yield ◽  
Morphological Traits ◽  
Agricultural Research ◽  
Block Design ◽  
Research Field ◽  
Research Station ◽  
Local Variety ◽  
Selection Strategies ◽  
Maize Genotypes ◽  
Randomized Complete Block Design

The purpose of this study was to assess the variation on agro-morphological traits and grain yield. A set of 14 early maize genotypes were studied at research field of Regional Agricultural Research Station (RARS), Doti, Nepal in summer seasons of 2015 and 2016. The experiment was carried out in Randomized Complete Block Design (RCBD) with three replications in each year. The variation among genotypes was observed for grain yield and flowering. The genotype SO3TEY-PO-BM produced the highest grain yield (4.33 t/ha) in 2015 whereas Rajahar Local Variety produced the highest grain yield (2.52 t/ha) in 2016. The combined analysis over years showed that Farmer’s variety was found earlier in tasseling (36 days) and silking (39 days), followed by S97TEYGHAYB(3) in tasseling (45 days) and by S97TEYGHAYB(3) and Arun-4 in silking (48 days). EEYC1 produced the highest grain yield (3.17 t/ha), followed by COMPOL-NIBP (3.09 t/ha), SO3TEY-PO-BM (2.90 t/ha), S97TEYGHAYB(3) (2.78 t/ha) and Rajahar Local variety (2.77 t/ha), respectively. The information on variation for the agro-morphological traits among studied early maize genotypes will be helpful to plant breeders in constructing their breeding materials and implementing selection strategies.

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