scholarly journals Assessment of genotype × trait interaction of rye genotypes for some morphologic traits through GGE biplot methodology

2018 ◽  
Vol 72 (1) ◽  
pp. 37
Author(s):  
Samaneh Yari ◽  
Naser Sabaghnia ◽  
Mokhtar Pasandi ◽  
Mohsen Janmohammadi
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Selection Strategy ◽  
Large Contribution ◽  
Multiple Traits ◽  
Breeding Programs ◽  
Randomized Block Design ◽  
Effective Selection ◽  
Improvement Programs ◽  
Ideal Genotype

<p>Effective interpretation of the data on breeding programs is important at all stages of plant improvement and the genotype by trait (GT) biplot was used for two-way wheat dataset as genotypes with multiple traits. For this propose, 18 rye genotypes with specific characteristics were evaluated in randomized block design with four replications. The GT biplot for rye dataset explained 61% of the total variation of the standardized data (the first two principal components explained 40 and 21% respectively). The polygon view of GT presented for 11 different traits of rye cultivars showed six vertex cultivars as G1, G3, G6, G8, G11 and G13 whose genotype G8 had the highest values for most of the measured traits. Generally based on vector view, ideal genotype and ideal tester biplots, it was demonstrated that the selection of high seed yield will be performed via seed number per spike, first internode weight, number of spike per area and harvest index. These traits should be considered simultaneously as effective selection criteria evolving high yielding rye cultivars because of their large contribution to seed yield. The genotypes G8 and G7 following to genotypes G3, G18 and G19 could be considered for the developing of desirable progenies in the selection strategy of rye improvement programs.</p>

scholarly journals Strategies to select soybean segregating populations with the goal of improving agronomic traits

2018 ◽  
Vol 40 (1) ◽  
pp. 39324
Author(s):  
Fabiana Mota da Silva ◽  
Elise De Matos Pereira ◽  
Bruno Henrique Pedroso Val ◽  
Dilermando Perecin ◽  
Antonio Orlando Di Mauro ◽  
...  
Keyword(s):  
Plant Height ◽  
Genetic Gain ◽  
Seed Weight ◽  
Agronomic Traits ◽  
Block Design ◽  
Selection Strategy ◽  
Breeding Programs ◽  
Effective Selection ◽  
100 Seed Weight ◽  
Number Of Branches

The success of breeding programs depends on selection procedures and on the breeding methods adopted for selecting segregating populations. The objective of this study was to evaluate the efficiency of the Bulk method with selection in the F3 generation (BulkF3) compared to that of Bulk method as well as determine the most effective selection strategy in terms of genetic gain. Twenty segregating populations were selected by two methods. The 60 best families of each method were selected according to their average agronomic performance. An augmented block design was used. The following agronomic traits were evaluated: insertion height of first pod, plant height at maturity, number of branches and of pods per plant, 100-seed weight, and grain yield. For comparison of the methods, genetic component estimates, genetic gain and predicted breeding values were calculated using mixed models (REML and BLUP). The results showed the families obtained with the BulkF3 method were more productive, showed suitable plant height, a larger number of branches and pods, and higher 100-seed weight. The BulkF3 method was found to be an effective selection strategy for soybean improvement. 

scholarly journals Interrelationships Among some Morphological Traits of Wheat (Triticum Aestivum L.) Cultivars using Biplot

2014 ◽  
Vol 20 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Naser Sabaghnia ◽  
Mohsen Janmohammadi
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Morphological Traits ◽  
Triticum Aestivum L ◽  
Selection Strategy ◽  
Large Contribution ◽  
Wheat Cultivars ◽  
Multiple Traits ◽  
Effective Selection ◽  
Breeding Programmes

Abstract Sabaghnia N., Janmohammadi M., 2014: Interrelationships among some morphological traits of wheat (Triticum aestivum L.) cultivars using biplot [Kviečių (Triticum aestivum L.) veislių morfologinių požymių sąveika naudojant biplot metodą]. - Bot. Lith., 20(1): 19-26. Wheat (Triticum aestivum L.) is one of the major food crops worldwide and Iran produces about 14 million tons of wheat annually. Effective interpretation of the data on breeding programmes is important at all stages of plant improvement. The cultivar by trait (CT) biplot was used for two-way wheat dataset as cultivars with multiple traits. For this propose, 13 wheat cultivars with specific characteristics were tested and the CT biplot for wheat dataset explained 65% of the total variation of the standardized data. The polygon view of CT presented for 18 different traits of wheat cultivars showed six vertex cultivars as G3, G4, G5, G9, G11 and G12. The cultivar G4 had the highest values for most of the measured traits. Generally based on vector view, ideal cultivar and ideal tester biplots, it was demonstrated that the selection of high grain yield will be performed via thousand seed weight, spike length and grain diameter. These traits should be considered simultaneously as effective selection criteria evolving high yielding wheat cultivars because of their large contribution to grain yield. The cultivars G3 and G4 could be considered for the developing of desirable progenies in the selection strategy of wheat improvement programmes

Stability Analyses using Regression and AMMI Models for Seed Yield in Blackgram

2020 ◽  
Author(s):  
N. Manivannan ◽  
A. Mahalingam ◽  
K. Bharathikumar ◽  
K. Rajalakshmi
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Research Centre ◽  
Local Conditions ◽  
Ecological Zones ◽  
Randomized Block Design ◽  
Ammi Analysis ◽  
The Stability ◽  
Ideal Genotype ◽  
Almost All

Background: Blackgram is an important pulse crop grown in almost all agro ecological zones in India. One of the major limitations of pulse cultivation in India is lack of superior genotypes with better adaptation to local conditions. Hence developing high yielding stable blackgram genotypes becomes a necessity to improve the area and production across the country. With this background, the present study was undertaken to identify stable and superior performing blackgram genotypes over seasons. Methods: The experiment was carried out during kharif 2017, rabi 2017-18, kharif 2018 and rabi 2018-19 at National Pulse Research Centre, Vamban. A total of 21 genotypes were evaluated in randomized block design with two replications in each environment. The data on seed yield was subjected to statistical analysis. The G X E interaction was studied as per Eberhart and Russell model, AMMI model and GGE biplot analyses. Result: In Eberhart and Russell model, the checks VBN 6, VBN 8 and VBN 10 and genotypes VBG 17-019, VBG 17-023 and VBG 17-026 were considered as stable with average response to the environments. In biplot 1 of AMMI analysis, check VBN 8 and genotypes VBG 16-005 and VBG 17-023 were considered as stable with high mean seed yield and less interaction with environment. In biplot 2 of AMMI analysis VBG 16-005 and VBG 007 were less interactive genotypes. GGE biplots indicated that rabi seasons are more informative than kharif seasons to assess the stability of genotypes. This model identified VBG 17-007, VBG 17-024 and VBG 17-030 as ideal genotype with high mean seed yield and stability. It also identified VBG 17-023 as with high mean seed yield and moderate interaction with environment. Based on the results of all models, the genotype VBG 17-023 was considered as stable genotype with high mean seed yield. Hence, the genotype VBG 17-023 can be tested in larger environments to release for general cultivation.

Combining ability and heterosis studies across environments in linseed (Linum usitatissimum L.)

2011 ◽  
Vol 59 (1) ◽  
pp. 87-102 ◽  
Author(s):  
S. Sood ◽  
N. Kalia ◽  
S. Bhateria
Keyword(s):  
Seed Yield ◽  
Linum Usitatissimum ◽  
Combining Ability ◽  
Yield Components ◽  
Block Design ◽  
Linum Usitatissimum L ◽  
Randomized Block Design ◽  
Component Traits ◽  
Parental Lines ◽  
Fibre Yield

Combining ability and heterosis were calculated for fourteen lines of linseed in a line × tester mating design using twelve lines and two diverse testers in two different environments. The hybrids and parental lines were raised in a completely randomized block design with three replications to investigate seed and fibre yield and their component traits. Genetic variation was significant for most of the traits over environments. Combining ability studies revealed that the lines KL-221 and LCK-9826 were good general combiners for seed yield and most of its components, whereas LMH-62 and LC-2323 were good general combiners for yield components only. Moreover, KL-221 was also a good general combiner for fibre yield. Similarly, B-509 and Ariane were good general combiners for fibre yield and most of its components. Among the specific cross combinations, B-509 × Flak-1 was outstanding for seed yield per plant and B-509 × KL-187 and LC-2323 × LCK-9826 for fibre yield per plant, with high SCA effects. In general, the hybrids excelled their respective parents and the standard checks for most of the characters studied. Based on the comparison of mean performance, SCA effects and the extent of heterosis, the hybrids LC-2323 × LCK-9826 and B-509 × KL-221 appeared to be the most promising for both seed and fibre yield. Other promising combinations were LC-2323 × KL-210 and B-509 × Ariane for seed and fibre yield, respectively. The superiority of LC-2323, LCK-9826, KL-221, B-509 and Ariane as good general combiners was further confirmed by the involvement of these parents in the desirable cross combinations.

Effect of Irrigation Methods and Mulching on Growth and Seed Yield of Semialata

2020 ◽  
Vol 7 (01) ◽  
Author(s):  
SK SRIVASTAVA ◽  
PAWAN JEET
Keyword(s):  
Seed Yield ◽  
Drip Irrigation ◽  
Growth Parameters ◽  
Block Design ◽  
Water Requirement ◽  
Furrow Irrigation ◽  
Plastic Mulch ◽  
Randomized Block Design ◽  
Daily Water ◽  
Black Plastic

A study was conducted to assess the effect of drip irrigation and plastic mulch on growth and seed yield of Semialata. Two types of plastic mulch (green and silver/black) were tested at three levels of irrigation (120%, 100% and 80%) by drip irrigation and one level (100%) by furrow irrigation. The daily water requirement of Semialata was estimated by the equation ETcrop= ETox crop factor. ETcrop is crop water requirement mm/day. ETo (reference evapotranspiration, mm/day) was calculated by FAO calculator which uses temperature and humidity data. In this experiments there were twelve treatments were considered. The treatments were replicated thrice. The experiment was laid in randomized block design. It was observed that drip irrigation with or without plastic mulch is yielding better results in terms of growth parameters and seed yield as compared to furrow irrigation without plastic mulch. It was also observed that maximum suppression (67.58%) of weeds resulted with drip irrigation and silver/black plastic mulch at 80% level of irrigation.

scholarly journals Quantification of Avoidable Yield Losses in Oilseed Brassica Caused by Insect Pests

2011 ◽  
Vol 51 (1) ◽  
pp. 38-43 ◽  
Author(s):  
Jagdev Kular ◽  
Sarwan Kumar
Keyword(s):  
Seed Yield ◽  
Yield Loss ◽  
Insect Pests ◽  
Block Design ◽  
Maximum Yield ◽  
The Other ◽  
Yield Losses ◽  
Eruca Sativa ◽  
Mustard Aphid ◽  
Randomized Block Design

Quantification of Avoidable Yield Losses in OilseedBrassicaCaused by Insect PestsA six year field study was conducted from 2001-2002 to 2006-2007 at Punjab Agricultural University, Ludhiana, India to study the losses in seed yield of differentBrassicaspecies (B. juncea, B. napus, B. carinata, B. rapaandEruca sativa) by the infestation of insect pests. The experiment was conducted in two different sets viz. protected/sprayed and unprotected, in a randomized block design, with three replications. Data on the infestation of insect pests, and seed yield were recorded at weekly intervals and at harvest, respectively. The loss in seed yield, due to mustard aphid and cabbage caterpillar, varied from 6.5 to 26.4 per cent.E. sativasuffered the least loss in seed yield and harboured the minimum population of mustard aphid (2.1 aphids/plant) and cabbage caterpillar (2.4 larvae/plant). On the other hand,B. carinatawas highly susceptible to the cabbage caterpillar (26.2 larvae/plant) and suffered the maximum yield loss (26.4%).

scholarly journals MORPHOLOGICAL AND PRODUCTIVE CHARACTERIZATION OF FORAGE CACTUS VARIETIES

2015 ◽  
Vol 28 (3) ◽  
pp. 230-238 ◽  
Author(s):  
PHILIPE LIMA DE AMORIM ◽  
JANAINA AZEVEDO MARTUSCELLO ◽  
JOSÉ TEODORICO DE ARAÚJO FILHO ◽  
DANIEL DE NORONHA FIGUEIREDO VIEIRA DA CUNHA ◽  
LIANA JANK
Keyword(s):  
Block Design ◽  
Morphological Characteristics ◽  
Correlation Coefficients ◽  
Dry Mass ◽  
Negative Effects ◽  
Breeding Programs ◽  
Area Index ◽  
Promising Alternative ◽  
Randomized Block Design ◽  
Use Efficiency

ABSTRACT: Cultivars of the genus Nopalea are known in Brazil for being tolerant to cochineal carmine attacks, thus making the cultivation of this genus a promising alternative for mitigating the negative effects of this insect on the production of biomass. With the objectives of characterizing morphologically spineless forage cactus varieties and identify morphological characteristics that may be the focus in spineless forage cactus breeding programs, an experiment was conducted in a completely randomized block design with 11 treatments and four replications. The variety Alagoas showed the highest values of weight, area and volume of cladodes. The varieties Negro Michoacan F7 and V7, Tamazunchale V12 showed the highest values of the cladode area index, the total volume of cladodes and total fresh mass production. The varieties Negro Michoacan V7 and F7 presented the highest water use efficiency and dry mass yield. Cladode volume showed the highest correlation coefficients with the fresh weight of cladodes. Aiming the release of varieties for biomass production, varieties Negro Michoacan F7, V7 and Tamazunchale V12 may substitute the Miúda variety. The number and cladode area index may be used as criteria for selection of superior varieties in breeding programs.

scholarly journals Genetic characterization of the 28 maize landraces in Paraná State

2017 ◽  
Vol 38 (4) ◽  
pp. 1715 ◽  
Author(s):  
Sara Regina Silvestrin Rovaris ◽  
Pedro Mário de Araújo ◽  
Deoclécio Domingos Garbuglio ◽  
Cleber Vinicius Guiaretta de Azevedo ◽  
Cássio Egídio Cavenaghi Prete
Keyword(s):  
Recurrent Selection ◽  
Agronomic Traits ◽  
Block Design ◽  
Breeding Programs ◽  
Randomized Block Design ◽  
Fixed Model ◽  
Maize Landraces ◽  
Ear Height ◽  
Female Flowering

The characterization of maize landraces is extremely important in breeding programs for use of these genotypes as sources of genetic variability. The objective of this study was to quantitatively characterize 28 populations of maize landraces from the state of Paraná using the estimates of the effects of varieties and heterosis parents and the general combining ability, thereby assessing the main agronomic traits. In the crop of 2008/09, 56 inter-varietal hybrids, obtained through a topcross, 28 populations of maize landraces and three check varieties were evaluated for female flowering (FF), plant height (PH), ear height (EH) and grain mass (GY). The treatments were evaluated in a randomized block design, with two replications, at three Paraná State locations: the Experimental Center of the Agronomic Institute of Paraná in Londrina (IAPAR) and the experimental units of Pato Branco and Ponta Grossa. The data were submitted to an analysis of variance, considering a fixed model for genotypes and a random model for environments; the averages grouped by the Scott-Knott test, along with intersections of topcrosses, were analyzed according to a readapted model proposed by Oliveira et al. (1997). According to estimates of the parental effects, the GI 133 population showed the most promising estimates for all characteristics. The GI 088 and GI 173 populations stood out with promising estimates of the effects of heterosis. The conclusion is that the populations GI 133 and GI 173 may be indicated for recurrent selection programs or participation in obtaining composites.

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.

Integration of Various Stability Models to Identify High Yielding and Stable Genotypes of Pigeonpea [Cajanus cajan (L.) Millspaugh]

2021 ◽  
Author(s):  
Amit Kumar Gaur ◽  
S.K. Verma ◽  
R.K. Panwar ◽  
Anju Arora
Keyword(s):  
Cluster Analysis ◽  
Seed Yield ◽  
Hierarchical Cluster Analysis ◽  
Cajanus Cajan ◽  
Block Design ◽  
Hierarchical Cluster ◽  
Interaction Effects ◽  
Kharif Season ◽  
Pulse Crop ◽  
Randomized Block Design

Background: Pigeonpea is second most important pulse crop of India after chickpea and it is necessary to identify its high yielding and stable genotypes to feed the increasing population of country. Methods: The present study was laid down in a Randomized Block Design with three replications during kharif season of 2016-2019 at GBPUAT, Pantnagar using twenty genotypes of pigeonpea with an aim to identify the high yielding and stable genotypes. The hierarchical cluster analysis (HCA) based on mean seed yield and Average of Sum of Ranks (ASR) of all measures (Parametric and non-parametric) was used in present study.Result: The pooled ANOVA revealed the presence of significant differences among genotypes, environments and G x E interaction effects. The results of hierarchical cluster analysis indicated the genotypes PA 622 (yield=1774.85 kg/ha, ASR=2.00), PA 620 (yield= 1579.92 kg/ha, ASR=2.18), UPAS 120 (yield=1268.57 kg/ha, ASR=2.87), PA 626 (yield=1571.40 kg/ha, ASR=5.56), PUSA 992 (yield= 1331.17 kg/ha, ASR=5.68) and PA 628 (yield= 1271.50 kg/ha, ASR=7.06) as most stable and high yielding and hence these genotypes can be recommended for pigeonpea improvement programmes.

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