Utilizing Grain Yield Data from Wheat Demonstration Plots

1990 ◽  
Vol 19 (2) ◽  
pp. 164-166 ◽  
Author(s):  
Liu Ben-Hui ◽  
J. P. Shroyer ◽  
T. S. Cox
Keyword(s):  
Grain Yield ◽  
Yield Data

EFFECT OF SOWING DATE ON GRAIN YIELD OF CRAB GRASS

2001 ◽  
Vol 49 (3) ◽  
pp. 293-297
Author(s):  
S. O. Bakare ◽  
M. G. M. Kolo ◽  
J. A. Oladiran
Keyword(s):  
Grain Yield ◽  
Interaction Effect ◽  
Significant Interaction ◽  
Sowing Date ◽  
Yield Data ◽  
Significant Interaction Effect ◽  
Sowing Dates

There was a significant interaction effect between the variety and the sowing date for the number of productive tillers, indicating that the response to sowing date varied with the variety. A significant reduction in the number of productive tillers became evident when sowing was delayed till 26 June in the straggling variety as compared to sowing dates in May. Lower numbers of productive tillers were also recorded when the sowing of the erect variety was further delayed till 10 July. The grain yield data showed that it is not advisable to sow the straggling variety later than 12 June, while sowing may continue till about 26 June for the erect variety in the study area.

Interference of Three Annual Grasses with Grain Sorghum (Sorghum bicolor)

1990 ◽  
Vol 4 (2) ◽  
pp. 245-249 ◽  
Author(s):  
Brenda S. Smith ◽  
Don S. Murray ◽  
J. D. Green ◽  
Wan M. Wanyahaya ◽  
David L. Weeks
Keyword(s):  
Linear Regression ◽  
Grain Yield ◽  
Field Experiments ◽  
Grain Sorghum ◽  
Grass Species ◽  
Row Spacing ◽  
Yield Data ◽  
Weed Density ◽  
Annual Grasses ◽  
Wide Row Spacing

Barnyardgrass, large crabgrass, and Texas panicum were evaluated in field experiments over 3 yr to measure their duration of interference and density on grain sorghum yield. When grain yield data were converted to a percentage of the weed-free control, linear regression predicted a 3.6% yield loss for each week of weed interference regardless of year or grass species. Grain sorghum grown in a narrow (61-cm) row spacing was affected little by full-season interference; however, in wide (91-cm) rows, interference increased as grass density increased. Data from the wide-row spacing were described by linear regression following conversion of grain yield to percentages and weed density to log10. A separate nonlinear model also was derived which could predict the effect of weed density on grain sorghum yield.

Growth and Yield of Wheat under Irrigation by Sugar Mill’s Wastewater

2014 ◽  
Vol 24 (1-2) ◽  
pp. 211-218
Author(s):  
PK Kundu ◽  
TK Acharjee ◽  
MA Mojid
Keyword(s):  
Grain Yield ◽  
Fertilizer Application ◽  
Wastewater Irrigation ◽  
Growth And Yield ◽  
Sugar Mill ◽  
Yield Data ◽  
Full Dose ◽  
Sugar Mills ◽  
Irrigation Treatments ◽  
Mixed Water

The possibility of using sugar mill’s wastewater/effluent in irrigation was evaluated by investigating the effects of wastewater on growth and yield of wheat (Triticum aestivum cv. Prodip). The experiment was conducted at North Bengal Sugar Mill site in Natore during December 2011 to March 2012. Three irrigation treatments (I1: irrigation with fresh/tubewell water, I2: irrigation with a mixture of fresh and wastewater at 1:1 ratio and I3: irrigation with wastewater) under a main factor and three fertilizer treatments (F0: no application of fertilizer, F1: half dose fertilizer and F2: full dose fertilizer) under a sub factor were evaluated. The experiment was laid out in a split-plot design with three replications of the treatments. Wheat was grown with three irrigations totaling 14 cm applied at 4, 26 and 43 days after sowing (DAS). Important growth and yield data of the crop were recorded. The highest grain yield of 1.829 t/ha was obtained under mixed water irrigation and the lowest grain yield of 1.469 t/ha was obtained under wastewater irrigation. The three irrigation treatments, however, provided statistically similar (p = 0.05) grain yield. For the interaction between irrigation and fertilizers, mixed water irrigation and full dose fertilizer application (I2F2) provided significantly higher grain yield (2.757 t/ha) than all other treatment combinations. The second highest yield, produced under freshwater irrigation and full dose fertilizer (I1F2), was statistically similar to the yield under wastewater irrigation and full dose fertilizer (I3F2). Results of this experiment thus exposed good prospects of irrigating wheat by sugar mills’ wastewater.DOI: http://dx.doi.org/10.3329/pa.v24i1-2.19174 Progress. Agric. 24(1&2): 211 - 218, 2013

scholarly journals Improving the precision of genotype selection in wheat performance trials

2013 ◽  
Vol 13 (4) ◽  
pp. 234-240 ◽  
Author(s):  
Giovani Benin ◽  
Lindolfo Storck ◽  
Volmir Sérgio Marchioro ◽  
Francisco de Assis Franco ◽  
Ivan Schuster ◽  
...  
Keyword(s):  
Grain Yield ◽  
Field Trials ◽  
Adjustment Coefficient ◽  
Experimental Accuracy ◽  
Yield Data ◽  
Yield Performance ◽  
Wheat Genotypes

The aim of this study was to verify whether using the Papadakis method improves model assumptions and experimental accuracy in field trials used to determine grain yield for wheat lineages indifferent Value for Cultivation and Use (VCU) regions. Grain yield data from 572 field trials at 31 locations in the VCU Regions 1, 2, 3 and 4 in 2007-2011 were used. Each trial was run with and without the use of the Papadakis method. The Papadakis method improved the indices of experimental precision measures and reduced the number of experimental repetitions required to predict grain yield performance among the wheat genotypes. There were differences among the wheat adaptation regions in terms of the efficiency of the Papadakis method, the adjustment coefficient of the genotype averages and the increases in the selective accuracy of grain yield.

scholarly journals Implications of predictable and unpredictable environmental factors in common bean VCU trials in Minas Gerais

2014 ◽  
Vol 14 (3) ◽  
pp. 146-153 ◽  
Author(s):  
Lidiane Kely de Lima ◽  
Magno Antonio Patto Ramalho ◽  
Ângela de Fátima Barbosa Abreu ◽  
Fernando Henrique Ribeiro Barrozo Toledo ◽  
Ricardo Augusto Diniz Cabral Ferreira
Keyword(s):  
Environmental Factors ◽  
Grain Yield ◽  
Common Bean ◽  
Total Variation ◽  
Minas Gerais ◽  
The State ◽  
Good Strategy ◽  
Yield Data ◽  
Relative Contribution ◽  
Environmental Variations

The aim of this study was to estimate the relative contribution of predictable and unpredictable environmental variations to the lines x environments interaction and verify if it is possible to reduce the number of evaluation environments of the Value for Cultivation and Use Trials (VCU) conducted in Minas Gerais, Brazil. We used grain yield data from 166 VCU trials of common bean conducted in the state from 2002 to 2012. Individual and joint analyses of variance of the environments were carried out for each two-year period and the contribution of each source of variation to total variation was estimated. Subsequently, ecovalence was used, and joint analyses of variance were made considering different numbers of environments by means of resampling. The source of variation that most contributes to the interaction is location. Reduction in the number of environments in the VCU trials is not a good strategy for recommendation of cultivars in Minas Gerais.

scholarly journals Direct effects of soybean seed vigor on weed competition

2011 ◽  
Vol 33 (2) ◽  
pp. 346-351 ◽  
Author(s):  
Marcos Altomani Neves Dias ◽  
Tais Leite Ferreira Pinto ◽  
Vitor Henrique Vaz Mondo ◽  
Silvio Moure Cicero ◽  
Leticia Gomes Pedrini
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Soybean Seed ◽  
Dry Mass ◽  
Seed Vigor ◽  
Weed Competition ◽  
Direct Effects ◽  
Yield Data ◽  
Physiological Tests ◽  
Mass Accumulation

Seed vigor is one of the factors that determines the speed and uniformity of seedling emergence and initial plant growth, which are crucial aspects in the competition against weeds. The objective of this study was to verify the direct effects of soybean seed vigor on weed competition and grain yield. A field experiment was conducted with three seed lots of the "Conquista" cultivar, previously characterized by physiological tests as having high, intermediate and low vigor. The experiment was divided into weeded and unweeded plots with six treatments. Crop plant height, weed dry mass accumulation and crop grain yield data were recorded. Seed vigor did not affect plant height and grain yield. Plants which developed from seeds with high and intermediate vigor showed the best results for competition against weeds, reducing weed dry mass accumulation. Plants which developed from high vigor seeds give the best results for grain yield for both weeded and unweeded treatments.

scholarly journals Repeatability of adaptability and stability parameters of common bean in unpredictable environments

2013 ◽  
Vol 48 (9) ◽  
pp. 1254-1259 ◽  
Author(s):  
Lidiane Kely de Lima ◽  
Magno Antonio Patto Ramalho ◽  
Ricardo Augusto Diniz Cabral Ferreira ◽  
Ângela de Fátima Barbosa Abreu
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Regression Coefficient ◽  
Coefficient Of Determination ◽  
Yield Data ◽  
Stability Parameters ◽  
Small Magnitude ◽  
Unpredictable Environments ◽  
Minas Gerais State ◽  
Sowing Season

The objective of this work was to estimate the repeatability of adaptability and stability parameters of common bean between years, within each biennium from 2003 to 2012, in Minas Gerais state, Brazil. Grain yield data from trials of value for cultivation and use common bean were analyzed. Grain yield, ecovalence, regression coefficient, and coefficient of determination were estimated considering location and sowing season per year, within each biennium. Subsequently, a analysis of variance these estimates was carried out, and repeatability was estimated in the biennia. Repeatability estimate for grain yield in most of the biennia was relatively high, but for ecovalence and regression coefficient it was null or of small magnitude, which indicates that confidence on identification of common bean lines for recommendation is greater when using means of yield, instead of stability parameters.

scholarly journals Number of experiments for adaptability and stability analysis in maize by Lin and Binns method

2018 ◽  
Vol 48 (3) ◽  
Author(s):  
Alberto Cargnelutti Filho ◽  
José Paulo Guadagnin
Keyword(s):  
Zea Mays ◽  
Stability Analysis ◽  
Grain Yield ◽  
Zea Mays L ◽  
Spearman Correlation ◽  
Yield Data ◽  
Maize Cultivars ◽  
Reference File ◽  
Data Files ◽  
Degree Of Association

ABSTRACT: The objective of this study was to determine the necessary number of experiments to analyze the adaptability and stability of maize cultivars (Zea mays L.) using the Lin and Binns method. Grain yield data extracted from 63 maize cultivar trials were used. Trials were divided in six groups of experiments, according to the cycle (early and super early) and the agricultural year (2002/2003, 2003/2004, and 2004/2005). In each group, from the set of all experiments (reference file) new data files were formed by combinations in groups of 2, 3, 4, ..., n-1 experiments, with a total of 10,683 files. For each file, the estimation of the adaptability and stability parameter (Pi) of the Lin and Binns method was calculated. To verify the degree of association of the estimates of Pi obtained with the combinations of experiments and with all the experiments (reference), Spearman correlation coefficient (r) was used. Number of experiments giving values of r≥0.80 in 100% of the combinations was considered sufficient. Seven experiments sufficed for the analysis of adaptability and stability of maize cultivars by the method of Lin and Binns.

A comparative study for yield performance and adaptation of some Australian and CIMMYT/ICARDA wheat genotypes grown at selected locations in Australia and the WANA region

2003 ◽  
Vol 54 (1) ◽  
pp. 91 ◽  
Author(s):  
S. Sivapalan ◽  
L. O'Brien ◽  
G. Ortiz-Ferrara ◽  
G. J. Hollamby ◽  
I. Barclay ◽  
...  
Keyword(s):  
Grain Yield ◽  
Commercial Production ◽  
Environmental Groups ◽  
Yield Data ◽  
Germplasm Exchange ◽  
Breeding Programs ◽  
Yield Performance ◽  
Breeding Lines ◽  
Wide Adaptation ◽  
Regional Adaptation

A regional adaptation analysis was conducted to provide a basis for effective and efficient wheat germplasm exchange between Australia and the WANA region. A set of 38 Australian and CIMMYT/ICARDA genotypes was tested for grain yield in 29 environments in Australia and the WANA region for 3 years commencing in 1994–95 season. Classification analysis of grain yield data identified 9 genotypic groups and 5 environmental groups with similar patterns in yield performance within each group. Genotypes with similar origin and pedigree were similar in yield performance across environments in Australia and the WANA region. Environmental conditions across both regions showed similarity in discriminating genotypes for their yield performance. Genotypes Attila, Spear, Excalibur, and 82Y:1186 were highest yielding in Australia and the WANA region. However, genotypes Nesser, Pfau/Seri//Bow, Hartog, Vulcan, and Sunland showed wide adaptation across both regions. Genotypes Cranbrook, Genaro 81, Seri 82, Kauz, SUN 190A, and Pgo/Seri 82 showed specific adaptation to favourable environments. Genotypes in each group, based on yield performance, showed differing degrees of yield stability. Pfau/Seri//Bow has the potential for release for commercial production in Australia and the WANA region. The genotypes Pfau/Seri//Bow, Hartog, Sunland, and Vulcan could be used in trials in both regions as indicator varieties to evaluate new breeding lines for mutual exchange between the 2 sets of breeding programs.

scholarly journals Optimal Planting Date of Kernza Intermediate Wheatgrass Intercropped with Red Clover

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2227
Author(s):  
Oluwakorede Olugbenle ◽  
Priscila Pinto ◽  
Valentin D. Picasso
Keyword(s):  
Grain Yield ◽  
Nutritive Value ◽  
Management Practice ◽  
Red Clover ◽  
Planting Date ◽  
Forage Yield ◽  
Nitrogen Transfer ◽  
Yield Data ◽  
Intermediate Wheatgrass ◽  
Harvest Year

Intermediate wheatgrass (IWG) is a new perennial dual-use crop for grain and forage with growing interest among farmers. Intercropping IWG with red clover may increase yield and nutritive value through nitrogen transfer. IWG and red clover planting timing can affect grain and forage yield, and there has not been previous research on this management practice. At two locations (Arlington and Lancaster, WI, USA) a factorial experiment was established two years with two factors: (1) IWG planting date (August through October, and April) and (2) red clover planting season (in the fall with IWG or frost seeded in the next spring). Yield data were collected for two subsequent years. Grain yield was maximized at 515 kg ha−1 and 423 kg ha−1 at Arlington and Lancaster when planted by 26 August and 13 September, respectively. Planting date influenced grain yields in the first harvest year but not in the second. Seeding red clover in the spring increased IWG and red clover biomass compared to seeding it in the fall. In Wisconsin, planting IWG by early September at the latest and planting red clover in the spring is recommended to maximize grain yield.

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