Dry pea (Pisum sativum L.) protein, starch, and ash concentrations as affected by cultivar and environment

2018 ◽  
Vol 98 (5) ◽  
pp. 1188-1198 ◽  
Author(s):  
Yesuf Assen Mohammed ◽  
Chengci Chen ◽  
Maninder Kaur Walia ◽  
Jessica A. Torrion ◽  
Kent McVay ◽  
...  
Keyword(s):  
Pisum Sativum ◽  
Great Plains ◽  
Block Design ◽  
Northern Great Plains ◽  
Environment Interaction ◽  
End User ◽  
Pisum Sativum L ◽  
Randomized Complete Block Design ◽  
The Usa ◽  
To Receive

Dry pea (Pisum sativum L.) is an important crop in the Northern Great Plains of the USA and Canada. Information on dry pea quality as affected by cultivars and environments is limited. This experiment determined the effects of dry pea cultivars and environments on protein, starch, and ash concentrations. Six dry pea cultivars (‘Arcadia’, ‘Bridger’, ‘CDC Striker’, ‘Cruiser’, ‘Montech 4152’, and ‘SW Midas’) were evaluated in a randomized complete block design with four replications in 22 environments. The results showed that cultivar × environment interaction effects were highly significant on protein, starch, and ash concentration (p < 0.0001). These interaction means, calculated on a dry matter basis, ranged from 145 to 278 g kg−1 seed for protein, 439 to 617 g kg−1 seed for starch, and 10.5 to 31.9 g kg−1 seed for ash. The differences among environmental means were substantial compared with cultivar means. When averaged over environments, ‘CDC Striker’, ‘Arcadia’, and ‘Montech 4152’ produced greater mean protein, starch, and ash concentrations, respectively, than the other cultivars. None of these cultivars simultaneously outperformed the others for protein, starch, and ash concentrations. This may indicate the need to develop cultivars with outstanding qualities across environments to receive satisfy premium end-user quality requirements.

Agro-morphology and forage nutritive value of white prairie clover [Dalea candida(Michx.) Willd.] populations native to the Canadian prairies

2018 ◽  
Vol 98 (6) ◽  
pp. 1234-1244
Author(s):  
Nityananda Khanal ◽  
Michael P. Schellenberg ◽  
Bill Biligetu
Keyword(s):  
Great Plains ◽  
Seed Yield ◽  
Nutritive Value ◽  
Block Design ◽  
Northern Great Plains ◽  
Canadian Prairies ◽  
Forage Crop ◽  
Randomized Complete Block Design ◽  
Acid Detergent Fibre ◽  
Provincial Park

White prairie clover [Dalea candida (Michx.) Willd.] is native to the dry prairies and hillsides of the Northern Great Plains. A study was initiated in 2012 with six white prairie clover populations collected from the Canadian Prairies. Plant growth characteristics, forage biomass, seed yield, and forage nutritive values were evaluated using a randomized complete block design in a field near Swift Current, SK. Three populations from Argyle, Carlowrie, and Big Grass Marsh (NCP588) in Manitoba displayed erect-type growth while those from Douglas Provincial Park and Stewart Valley in Saskatchewan and Writing on Stone Provincial Park in Alberta exhibited prostrate growth. The populations did not differ for mean biomass yield (79–104 g plant−1, p = 0.54) and mean seed yield (6.6–9.1 g plant−1, p = 0.69); however, they differed for bloom stage nutritional parameters such as acid detergent fibre (25%–30%, p = 0.04), neutral detergent fibre (34%–41%, p < 0.01), crude proteins (15%–18%, p < 0.01), phosphorus (0.24%–0.29%, p = 0.02), and iron content (144–360 ppm, p = 0.01). To our knowledge, this is the first report of comparative phenotypic, nutritional, and propagation study of native white prairie clover populations of Canada. The constraints and opportunities for successful domestication of white prairie clover as a forage crop are discussed.

scholarly journals Genotype by environment interaction for seeds yield in pea (Pisum sativum L.) using additive main effects and multiplicative interaction model

Euphytica ◽  
2019 ◽  
Vol 215 (11) ◽  
Author(s):  
Jan Bocianowski ◽  
Jerzy Księżak ◽  
Kamila Nowosad
Keyword(s):  
Pisum Sativum ◽  
Block Design ◽  
Interaction Model ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Multiplicative Interaction ◽  
Genotype By Environment ◽  
Randomized Complete Block Design ◽  
Main Effects

Abstract The objective of this study was to evaluate the genotype by environment interaction using the additive main effects and multiplicative interaction model for seeds yield of pea cultivars grown in Poland. Twelve pea (Pisum sativum L.) cultivars: Bohun, Boruta, Cysterski, Ezop, Kavalir, Lasso, Medal, Santana, Tarchalska, Terno, Wenus and Zekon were evaluated in 20 environments (ten locations in 2 years). The experiment was laid out as randomized complete block design with three replicates. Seeds yield ranged from 26.10 dt ha−1 (for Wenus in Radostowo 2011) to 79.73 dt ha−1 (for Lasso in Słupia 2010), with an average of 50.70 dt ha−1. AMMI analyses revealed significant genotype and environmental effects as well as genotype-by-environment interaction with respect to seeds yield. In the analysis of variance, 89.19% of the total seeds yield variation was explained by environment, 1.65% by differences between genotypes, and 8.33% by GE interaction. The cultivar Terno is the highest stability. The cultivar Tarchalska is recommended for further inclusion in the breeding program because its stability and the highest averages of seeds yield.

scholarly journals Genotype X Environment Interaction of Food Barley

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotype Effect ◽  
Environment Effects ◽  
Randomized Complete Block Design ◽  
Barley Genotypes

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903

Evaluation of sugarcane genotypes with respect to sucrose yield across three crop cycles using GGE biplot analysis

2021 ◽  
pp. 1-13
Author(s):  
Aliya Momotaz ◽  
Per H. McCord ◽  
R. Wayne Davidson ◽  
Duli Zhao ◽  
Miguel Baltazar ◽  
...  
Keyword(s):  
Block Design ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Genotype Environment Interaction ◽  
Area 5 ◽  
Randomized Complete Block Design ◽  
Main Effects

Summary The experiment was carried out in three crop cycles as plant cane, first ratoon, and second ratoon at five locations on Florida muck soils (histosols) to evaluate the genotypes, test locations, and identify the superior and stable sugarcane genotypes. There were 13 sugarcane genotypes along with three commercial cultivars as checks included in this study. Five locations were considered as environments to analyze genotype-by-environment interaction (GEI) in 13 genotypes in three crop cycles. The sugarcane genotypes were planted in a randomized complete block design with six replications at each location. Performance was measured by the traits of sucrose yield tons per hectare (SY) and commercial recoverable sugar (CRS) in kilograms of sugar per ton of cane. The data were subjected to genotype main effects and genotype × environment interaction (GGE) analyses. The results showed significant effects for genotype (G), locations (E), and G × E (genotype × environment interaction) with respect to both traits. The GGE biplot analysis showed that the sugarcane genotype CP 12-1417 was high yielding and stable in terms of sucrose yield. The most discriminating and non-representative locations were Knight Farm (KN) for both SY and CRS. For sucrose yield only, the most discriminating and non-representative locations were Knight Farm (KN), Duda and Sons, Inc. USSC, Area 5 (A5), and Okeelanta (OK).

Yield performance stability of adapted and improved cowpea in the Equatoria region of South Sudan

2019 ◽  
Author(s):  
Tony Ngalamu ◽  
Silvestro Meseka ◽  
James Odra Galla ◽  
Nixon James Tongun ◽  
Newton W. Ochanda ◽  
...  
Keyword(s):  
Block Design ◽  
South Sudan ◽  
Yield Stability ◽  
Environment Interaction ◽  
Analysis Method ◽  
Genotype X Environment ◽  
Production Constraints ◽  
Stability Performance ◽  
Randomized Complete Block Design ◽  
Main Production

Cowpea is an important food crop with high nutritional and socio-economical values in South Sudan. However, the lack of improved varieties is one of the main production constraints. This study was undertaken to assess the yield stability performance of improved cowpea genotypes across six environments in South Sudan in 2014 and 2015. Nine genotypes were evaluated in a randomized complete block design with three replications. Genotype and genotype x environment biplot analysis method was used to determine yield stability. Highly significant (p less than 0.001) genotype x environment interaction effect was detected for seed yield. IT90K-277-2 had the highest while ACC004 had the lowest grain yield. Palotaka was as highly discriminating and repeatable environment compare to the other testing sites. IT07K-211-1-8 and Mading Bor II were the most responsive genotypes, while IT90K-277-2 was the most stable high yielding genotype across the test environments and can be grown by farmers across the region.

WINTERHARDINESS OF ALFALFA CULTIVARS IN SOUTHERN SASKATCHEWAN

1973 ◽  
Vol 53 (4) ◽  
pp. 773-777 ◽  
Author(s):  
D. H. HEINRICHS
Keyword(s):  
North America ◽  
Medicago Sativa ◽  
Great Plains ◽  
Climatic Conditions ◽  
Northern Great Plains ◽  
Dry Land ◽  
The Third ◽  
The Usa ◽  
Medicago Sativa L

Winter injury occurring at Swift Current, Saskatchewan, was recorded in 17 tests during the period 1962–72. Cultivars developed in the Northern Great Plains Region of the USA and in Canada were generally more winter-hardy than cultivars developed in other regions of North America or in Europe. Cultivars classified as Medicago media Pers. were more winter-hardy than those classified as Medicago sativa L. Very few USA cultivars were more winter-hardy than Vernal, but most Canadian cultivars were. In nonhardy cultivars winter injury never occurred during the first winter, but it often occurred in the second winter and frequently in the third winter. There was considerably more winter injury among alfalfa cultivars on irrigated land than on dry land. Based on results from these tests, 50 cultivars and strains have been classified for relative winterhardiness under climatic conditions in southern Saskatchewan, Canada.

scholarly journals Effect of Biofertilizer and Mulch on Growth, Yield, Quality and Economics of Pea (Pisum sativum L.)

2021 ◽  
Author(s):  
Talwinder Singh ◽  
Harish Chandra Raturi ◽  
S.P. Uniyal
Keyword(s):  
Pisum Sativum ◽  
Block Design ◽  
Growth Yield ◽  
Plastic Mulch ◽  
Saw Dust ◽  
Pisum Sativum L ◽  
Randomized Block Design ◽  
Yield Quality ◽  
Fatehgarh Sahib ◽  
The Individual

Background: Pea is a nitrogen-fixing legume. The interest in pea as soil-building crops is increasing day by day as the chemical fertilizers are becoming less available and more expensive. The use of fertilizers is also increasing leading to environmental pollution. The adverse effect of plastic mulch in agriculture is related to handling the plastic wastes and the associated environmental impact. The current study was aimed to search for organic alternatives to fertilizer and plastic mulch in order to overcome the defeatist effects on the environment.Methods: The present investigation entitled “Effect of biofertilizer and mulch on growth, yield, quality and economics of pea (Pisum sativum L.)” was conducted during Rabi season 2017-18 at the Experimental farm, Department of Agriculture, Mata Gujri College, Fatehgarh Sahib, Punjab, India. The experiment was laid out in factorial randomized block design (FRBD) with three replications. The treatments consisted of four mulches, M0-No mulch, M1-Paddy straw@5t/ha, M2-Maize stubbles@4t/ha, M3-Sawdust@10t/ha and four Rhizobium doses, B0-No Rhizobium, B1-Rhizobium@20g/kg of seeds, B2-Rhizobium@25g/kg of seeds, B3-Rhizobium@30g/kg of seeds and their combinations. Conclusion: In the individual outcome of Rhizobium and mulch best results were obtained with the application of Rhizobium@30g/kg of seeds and saw dust@10t/ha. In interaction, Rhizobium@30g/kg of seeds and saw dust@10t/ha performed better as compared to other interaction treatments.

scholarly journals AMMI and GGE Biplot Analysis for Stability of Yield in Mid-early Pigeonpea [Cajanus cajan (L.) Millspaugh] Genotypes

2022 ◽  
Author(s):  
P. Jagan Mohan Rao ◽  
N. Sandhyakishore ◽  
S. Sandeep ◽  
G. Neelima ◽  
A. Saritha ◽  
...  
Keyword(s):  
Block Design ◽  
High Yield ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Genotype Environment Interaction ◽  
Single Location ◽  
Randomized Complete Block Design ◽  
Advanced Stages ◽  
Superior Genotypes

Background: The genotype × environment interaction greatly influences the success of breeding and in multi-location trials complicates the identification of superior genotypes for a single location, due to magnitude of genotype by location interaction are often greater than genotype by year interaction. This necessitates genotype evaluation in multi environments trials in the advanced stages of selection. Methods: Nine elite pigeonpea genotypes of mid-early duration were evaluated in six diverse locations in randomized complete block design with three replications during kharif, 2019 to ascertain the stable genotypes, environments discrimination and genotype by environment crossovers using AMMI and GGE biplot stability models. Result: The results in the present investigation revealed that first two principal components explained 73.4% of variation interaction, while, 80.50% in GGE biplot. Both the models identified WRGE-126 (G6) as stable performer with high yield (1733 kg ha-1) and among the locations Tandur (E1) measured as the ideal environment. Whereas, the environments, Adilabad (E3) and Warangal (E4) were observed representative with better discriminating ability.

Sign in / Sign up

Export Citation Format

Share Document