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.

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.

Corrigendum to: 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 (3) ◽  
pp. 331 ◽  
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 Genotype and environment interaction of drought tolerant rice genotypes evaluated in drought prone areas of Bangladesh

2016 ◽  
Vol 14 (1) ◽  
pp. 23-30
Author(s):  
RR Majumder ◽  
TR Hore ◽  
MA Kader ◽  
TL Aditya
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Principal Component ◽  
Field Trials ◽  
High Yield ◽  
Environment Interaction ◽  
Growth Duration ◽  
Yield Data ◽  
Wide Range ◽  
Rice Genotypes

Field trials were conducted using ten rice genotypes including four national and international check varieties under drought prone rainfed environments of Rangpur, Nilphamari, Kurigram and Lalmonirhat districts of Bangladesh in Transplant Aman 2012 season to evaluate the growth duration and grain yield stability as well as adaptability. The experiment used randomized complete block design with three replications. Growth duration and Grain yield data were subjected to Additive Main effects and Multiplicative Interaction (AMMI) analysis. The mean growth duration of 10 genotypes over four environments showed that the longest growth duration was found for IR83383-B-B-129-4 (115.6 days) and the lowest growth duration was found for BRRI dhan56 (Ck) (113.4 days). IR82635-B-B-145-1 produced maximum 4.28 t/ha grain yield followed by 4.28 t/ha in IR82589-B-B-84-3 and the lowest grain yield was recorded for IR83376-B-B-130-2 with 3.24 t/ha. It was evident from the AMMI 1 biplot analysis that IR83377-B-B-93- 3, IR83383-B-B-129-4, IR82635-B-B-145-1, IR82635-B-B-75-2 and BRRI dhan56 (Ck) generally exhibited high yield with high main (additive) effects showing positive first principal component of the interaction (IPCA1), but IR82635-B-B-145-1 being the overall best. Hence, IR82635-B-B-145-1 was identified as specially adapted to Lalmonirhat and this environment was considered as the wide range suitable environment for the genotype. Lalmonirhat could be regarded as a good selection site for rice improvement due to stable yields. IR83377-B-B-93-3, IR82635-B-B-145-1, IR83383-B-B-129-4, IRRI 123 (Ck), BRRI dhan57 (Ck) and BINA dhan7 (Ck) were hardly affected by the G × E interaction and would perform well across a wide range of environments. In AMMI 2 biplot, IR82635-B-B-145-1 and IRRI 123 (Ck) was more responsive since they were away from the origin whereas other genotypes were nearer to the origin and hence they were more stable to different environments. IR83383-B-B-129-4 was very close to the origin, so it was more stable to different environments. Similarly Rangpur Sadar and Lalmonirhat showed similar potentiality over IR83383-B-B-129-4. The study it revealed that IR83377-B-B-93-3, IR83383-B-B-129-4, IR82635-B-B-145-1, IR82635-B-B-75-2 and IR82589-B-B-84-3 has the potentiality to show drought tolerance for the regions and might be suitable for releasing as a variety after conducting proper yield evaluation trials and Distinction, Uniformity and Stability (DUS) tests.J. Bangladesh Agril. Univ. 14(1): 23-30, June 2016

scholarly journals Adaptabilidade e estabilidade como critério de seleção de cultivares de trigo no Estado do Paraná

2015 ◽  
Vol 36 (5) ◽  
pp. 2933 ◽  
Author(s):  
César Luis Tavares ◽  
Claudio Guilherme Portela de Carvalho ◽  
Manoel Carlos Bassoi ◽  
José Salvador Simoneti Foloni ◽  
Cássio Egídio Cavenaghi Prete
Keyword(s):  
Grain Yield ◽  
Selection Process ◽  
Sowing Date ◽  
Distributed Environments ◽  
Yield Data ◽  
Wheat Genotypes ◽  
Selection Of

 <p class="Pa7">The aim of this study was compare some techniques to assess the adaptability and stability seeking the selection of wheat genotypes in Paraná State. The grain yield data were obtained from trial experiments of the Value of Cultivation and Use, as assessed in 44 different locations in distributed environments and sowing date. The study of adaptability and stability were evaluated based on Eberhart and Russell (1966), Lin and Binns (1988) revised by Carneiro (1998), Porto, Carvalho and Pinto (2007) and Rocha et al. (2005). The methods of Eberhart and Russell (1966), Lin and Binns (1988) revised by Carneiro (1998), and the method of Porto, Carvalho and Pinto (2007) showed similar results. These methods were superior to the method of Rocha et al. (2005), which was sloppy in the selection process. The method of Porto, Carvalho and Pinto (2007) had the advantage of simplifying the analysis of adaptability and stability.</p>

EVALUATION OF NINE OAT VARIETIES AS PARENTS IN BREEDING FOR SHORT STOUT STRAW WITH HIGH GRAIN YIELD USING F1, F2, AND F3 BULKED PROGENIES

1972 ◽  
Vol 52 (1) ◽  
pp. 21-28 ◽  
Author(s):  
D. R. SAMPSON
Keyword(s):  
Grain Yield ◽  
No Value ◽  
Combining Ability ◽  
Field Performance ◽  
Field Trials ◽  
General Combining Ability ◽  
Kernel Weight ◽  
Index Selection ◽  
Lodging Resistance ◽  
Yield Data

Twenty-one oat hybrids from Stormont, Kelsey, and Dorval crossed with each other and with Tyler, Goodfield, Egdolon-26, Orbit, O.A. 123-91, and P.I. 193027 were evaluated in F2 and F3 field trials using index selection. Desired goals for plant height, stem diameter, 1000 kernel weight, and grain yield were defined in terms of lodging-resistance components similar to those of Stormont but with higher yield. Stormont × Orbit was the outstanding cross. General combining ability effects showed that the outstanding parents were Egdolon and Stormont for short stout stems, and Orbit for 1000 kernel weight and yield. Data from F1 spaced plants growing in an optimum environment was of no value for predicting F2 and F3 field performance. Midparent values, calculated from parents included in the field trials, were good predictors for stem dimensions and 1000 kernel weight, but were only fair predictors of progeny yields.

Influence of cytoplasmic male sterile and restorer lines on the grain yield stability of sunflower under different environmental conditions

2012 ◽  
Vol 60 (3) ◽  
pp. 247-255
Author(s):  
I. Liović ◽  
A. Mijić ◽  
M. Krizmanić ◽  
P. Pepó ◽  
V. Kovačević ◽  
...  
Keyword(s):  
Grain Yield ◽  
Environmental Conditions ◽  
Female Parent ◽  
Field Trials ◽  
Yield Stability ◽  
Restorer Line ◽  
Environment Interaction ◽  
Male Sterile ◽  
Yield Data ◽  
Cytoplasmic Male Sterile

Environmental conditions (soil, weather) have the greatest impact on the production of all crops, so it is necessary to check the behaviour of new hybrid combinations under diverse environmental conditions. In 2009 and 2010, field trials were sown at various locations in Croatia to test new sunflower hybrid combinations bred at the Agricultural Institute in Osijek. In both years, the trials were conducted in Beli Manastir (BM09 and BM10), Nova Gradiška (NG09 and NG10) and Osijek (Os09 and Os10), while in 2010, a trial was also sown in Vukovar (Vu10). The genotypes included three cytoplasmic male sterile lines (cms 1–3) as female parent with a set of 8 fertility restorer lines (four branching restorers: oG1–4 and four single-headed restorers: oM5–8). The grain yield data were processed for years and locations (7 environments) using analysis of variance (ANOVA) and Additive Main effects and Multiplicative Interactions (AMMI) analysis with the SAS for Windows 9.1 statistical software. To obtain a better picture of the grain yield stability of the hybrid combinations in different environments, AMMI1 and AMMI2 biplots were made using IRRISTAT for Windows 5.0 software. No significant differences were found between the hybrid combinations of the female lines (cms 1–3). Among the environments, the significantly highest grain yield was recorded in the environment Os09 (4.220 t ha−1), followed by BM09 and Os10. As regards the restorers the highest grain yields (statistically on par with each other) were found for hybrid combinations involving oG2 and oM7 (3.726 and 3.666 t ha−1). Together, the first two interaction principle components (IPC) explained 85.4, 76.6 and 64.8% of the variability for crosses involving cms1, cms2 and cms3, respectively. The AMMI1 and AMMI2 biplots showed that the highest yielding hybrid combinations did not have the most stable grain yield. The greatest stability was shown by restorer line oM7 in cross combinations with inbred lines cms1 and cms2, while the same restorer line exhibited a large genotype × environment interaction and low stability when crossed with cms3.

scholarly journals Using NDVI to Differentiate Wheat Genotypes Productivity Under Dryland and Irrigated Conditions

2020 ◽  
Vol 12 (5) ◽  
pp. 824 ◽  
Author(s):  
Mohammed Naser ◽  
Raj Khosla ◽  
Louis Longchamps ◽  
Subash Dahal
Keyword(s):  
Grain Yield ◽  
Growth Stage ◽  
Grain Filling ◽  
Growing Season ◽  
Triticum Aestivum L ◽  
Field Trials ◽  
Clustering Method ◽  
Wheat Genotypes ◽  
Normalized Difference Vegetative Index ◽  
Reliable Correlation

Crop breeders are looking for tools to facilitate the screening of genotypes in field trials. Remote sensing-based indices such as normalized difference vegetative index (NDVI) are sensitive to biomass and nitrogen (N) variability in crop canopies. The objectives of this study were (i) to determine if proximal sensor-based NDVI readings can differentiate the yield of winter wheat (Triticum aestivum L.) genotypes and (ii) to determine if NDVI readings can be used to classify wheat genotypes into grain yield productivity classes. This study was conducted in northeastern Colorado in 2010 and 2011. The NDVI readings were acquired weekly from March to June, during 2010 and 2011. The correlation between NDVI and grain yield was determined using Pearson’s product-moment correlation coefficient (r). The k-means clustering method was used to classify mean NDVI and mean grain yield into three classes. The overall accuracy between NDVI and yield classes was reported. The findings of this study show that, under dryland conditions, there is a reliable correlation between grain yield and NDVI at the early growing season, at the anthesis growth stage, and the mid-grain filling growth stage, as well as a poor association under irrigated conditions. Our results suggest that when the sensor is not saturated, i.e., NDVI < 0.9, NDVI could assess grain yield with fair accuracy. This study demonstrated the potential of using NDVI readings as a tool to differentiate and identify superior wheat genotypes.

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.

Yield performance with heritability measurements of half sib families obtained from maize variety Azam

1970 ◽  
pp. 33-36
Author(s):  
Faizan Mahmood, Hidayat- Ur-Rahman, Nazir Ahmad ◽  
Fahim-ul- Haq ◽  
Samrin Gul, Quaid Hussain ◽  
Ammara Khalid ◽  
Touheed Iqbal ◽  
...  
Keyword(s):  
Grain Yield ◽  
Agronomic Traits ◽  
Heritability Estimate ◽  
Kernel Weight ◽  
Yield Performance ◽  
Grain Moisture ◽  
Maize Variety ◽  
Ear Height ◽  
Sib Families

This study evaluated the performance of 64 half sib families (HSF) derived from “Azam” variety of maize using partially balanced lattice square design with two replications. Data were recorded on grain yield and other agronomic traits. Observations showed difference in half-sib families for studied traits. Among the 64 half-sib families, minimum days to 50% tasseling (51 days) were observed for HS-49 while maximum (57 days) for HS-63. Minimum days to 50% silking (56 days) were counted for HS-6 while maximum (63 days) for HS-23. Minimum days to 50% anthesis (55 days) were counted for HS-1 and HS-6 while maximum (62 days) for HS-23. Similarly, minimum ASI (-2 days) were observed in HS-1, HS-15, HS-16, HS-28 and HS-63 while maximum (2 days) in HS-48. Minimum (60 cm) ear height was recorded for HS-11 and maximum (93.5 cm) for HS-28. Minimum fresh ear weight (1.3 kg) was weighted for HS-17 while maximum (3.2 kg) for HS-21. Grain moisture was recorded minimum (19.35 %) for HS-19 and maximum (31.25%) for HS-2. HS-42 showed minimum (28 g) 100 kernel weight while HS-5 showed maximum (47 g). Grain yield was minimum (2323 kg ha-1) for HS-17 and maximum (5742 kg ha-1) for HS-21. Maximum heritability estimate (0.92) was recorded for fresh ear weight, while minimum (0.41) was observed for ear height.

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
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