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Additive main effects and multiplicative interactions analysis of yield in popcorn (Zea mays everta L.) hybrids

Year 2012, Volume: 25 Issue: 2, 117 - 121, 01.12.2012

Abstract

This study was conducted to investigate the yield performances of 14 popcorn hybrids across four environments representing four different geographical regions of Turkey. The experiment was conducted as a randomized complete block design with three replications. The analysis of variance showed that genotype (G), environment (E) and genotype by environment interactions (GEI) were highly significant and captured 12.9 %, 67.9 % and 19.2 % sum of squares, respectively. For explaining GEI effect on yield and generating knowledge about stability of the hybrids, additive main effects and multiplicative interactions analysis (AMMI) was used. A biplot graph of 14 popcorn hybrids and four environments for yield using genotypic and environmental scores constructed from the first two AMMI terms was a useful picture to see overall genotype and environmental situations According to the results of the biplot graph, some genotypes performed better on some specific environments than others. G1 was selected for its stability across the environments. Besides, G2, G3, G4 and G6 popcorn candidate hybrids can be considered as promising due to their yield performances.

References

  • Anandan A, Sabesan T, Eswaran R, Rajiv G, Muthalagan N, Suresh R (2009) Appraisal of environmental interaction on quality traits of rice by additive main effects and multiplicative interaction analysis. Cereal Research Communications 37: 131–140.
  • Arulselvi B, Selvi B (2010) Grain yield stability of single cross maize (Zea mays L.) hybrids over three different environments. Electronic Journal of Plant Breeding 1: 577–584.
  • Crossa J, Gauch HG and Zobel RW (1990) Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Science 30: 493–500.
  • Dickerson GW (2003) Specialty corns. http://aces.nmsu.edu/pubs/_h/h- 232.pdf Accessed 12 February 2012.
  • Ebdon JS and Gauch, JHG (2002) Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: II. Cultivar recommendations. Crop Science 42: 497–506.
  • Gabriel KR (1971) The biplot graphic display of matrices with application to principal component analysis. Biometrika 453–467.
  • Gollob HF (1968) A statistical model which combines features of factor analytic and analysis of variance techniques. Psychometrika 33: 73–115.
  • Hernandez MV and Crossa J (2000) The AMMI analysis and graphing the biplot. Biometrics and Statistics Unit, CIMMYT.
  • İlker E, Tonk FA, Çaylak Ö, Tosun M, Özmen İ (2009) Assessment of genotype x environment interactions for grain yield in maize hybrids using AMMI and GGE biplot analyses. Turkish Journal of Field Crops 14: 123–135.
  • Issa AB (2009) Genotype by environment interaction and yield stability of maize hybrids evaluated in Ethiopia. http://etd.uovs.ac.za/ETD- db/.../IssaAB.pdf Accessed 01 February 2012.
  • Kaya Y, Palta C, Taner S (2002) Additive main effects and multiplicative interactions analysis of yield performance in bread wheat genotypes a cross environments. Turkish Journal of Agricultural and Forestry 26: 275–279.
  • Naveed M, Nadeem M and Islam N (2007) AMMI analysis of some upland cotton genotypes for yield stability in different milieus. World Journal of Agricultural Sciences 3: 39–44.
  • Pajic Z (2007) Breeding of maize types with specific traits at the Maize Research Institute, Zemun Polje. Genetika 39: 169–180.
  • Pike D (2003) Crop profile for corn (pop) in the United States (North Central Region). http://www.ipmcenters.org/cropprofiles/.../us-ncr. Accessed 14 February 2012.
  • Sadeghi SM, Samizadeh H, Amiri E and Ashouri M (2011) Additive main effects and multiplicative interactions (AMMI) analysis of dry leaf yield in tobacco hybrids across environments. African Journal of Biotechnology 10: 4358–4364.
  • SAS Institute. (1999) SAS/STAT users guide, second edition. SAS Institute Inc., Cary, NC.
  • Tarakanovas T, Ruzgas V (2006) Additive main effect and multiplicative interaction analysis of grain yield data of wheat varieties in Lithuania. Agronomy Research 4: 91–98.
  • Zobel RW, Wright M.J, Gauch JHG (1988) Statistical analysis of a yield trial. Agronomy Journal 80: 388–393.

Cin mısır (Zea mays everta L.) hibritlerinde tane veriminin eklemeli ana etkiler ve çarpımsal interaksiyonlar analizi

Year 2012, Volume: 25 Issue: 2, 117 - 121, 01.12.2012

Abstract

Bu araştırma, 14 adet cin mısır melezinin dört farklı coğrafik bölgede verim performanslarını
belirlemek amacıyla yapılmıştır. Çalışma tesadüf blokları deneme desenine göre 3 tekerrürlü
olarak yürütülmüştür. Genotip, çevre ve genotip x çevre interaksiyonları yapılan varyans
analizinde önemli olarak bulunmuş ve kareler toplamı değerleri sırasıyla % 12,9, % 67,9 ve %
19,2 şeklinde saptanmıştır. Genotip x çevre interaksiyonunun verim üzerine olan etkisini
açıklamak ve hibritlerin stabilite durumları hakkında bilgi elde etmek için eklemeli ana etkiler
ve çarpımsal interaksiyonlar analizi (AMMI) kullanılmıştır. İlk iki AMMI öğesinin genotip ve
çevresel değerlerinden hesaplanarak oluşturulan biplot grafiği genotip ve çevreler hakkında
yararlı bilgiler vermiştir. Analize göre, genotipler arasında G1 aday çeşidi bütün çevreler
dikkate alındığında en stabil genotip olarak saptanmıştır. Ayrıca, G2, G3, G4 ve G6 kodlu
aday genotipler ümitvar melezler olarak değerlendirilmiştir.

References

  • Anandan A, Sabesan T, Eswaran R, Rajiv G, Muthalagan N, Suresh R (2009) Appraisal of environmental interaction on quality traits of rice by additive main effects and multiplicative interaction analysis. Cereal Research Communications 37: 131–140.
  • Arulselvi B, Selvi B (2010) Grain yield stability of single cross maize (Zea mays L.) hybrids over three different environments. Electronic Journal of Plant Breeding 1: 577–584.
  • Crossa J, Gauch HG and Zobel RW (1990) Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Science 30: 493–500.
  • Dickerson GW (2003) Specialty corns. http://aces.nmsu.edu/pubs/_h/h- 232.pdf Accessed 12 February 2012.
  • Ebdon JS and Gauch, JHG (2002) Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: II. Cultivar recommendations. Crop Science 42: 497–506.
  • Gabriel KR (1971) The biplot graphic display of matrices with application to principal component analysis. Biometrika 453–467.
  • Gollob HF (1968) A statistical model which combines features of factor analytic and analysis of variance techniques. Psychometrika 33: 73–115.
  • Hernandez MV and Crossa J (2000) The AMMI analysis and graphing the biplot. Biometrics and Statistics Unit, CIMMYT.
  • İlker E, Tonk FA, Çaylak Ö, Tosun M, Özmen İ (2009) Assessment of genotype x environment interactions for grain yield in maize hybrids using AMMI and GGE biplot analyses. Turkish Journal of Field Crops 14: 123–135.
  • Issa AB (2009) Genotype by environment interaction and yield stability of maize hybrids evaluated in Ethiopia. http://etd.uovs.ac.za/ETD- db/.../IssaAB.pdf Accessed 01 February 2012.
  • Kaya Y, Palta C, Taner S (2002) Additive main effects and multiplicative interactions analysis of yield performance in bread wheat genotypes a cross environments. Turkish Journal of Agricultural and Forestry 26: 275–279.
  • Naveed M, Nadeem M and Islam N (2007) AMMI analysis of some upland cotton genotypes for yield stability in different milieus. World Journal of Agricultural Sciences 3: 39–44.
  • Pajic Z (2007) Breeding of maize types with specific traits at the Maize Research Institute, Zemun Polje. Genetika 39: 169–180.
  • Pike D (2003) Crop profile for corn (pop) in the United States (North Central Region). http://www.ipmcenters.org/cropprofiles/.../us-ncr. Accessed 14 February 2012.
  • Sadeghi SM, Samizadeh H, Amiri E and Ashouri M (2011) Additive main effects and multiplicative interactions (AMMI) analysis of dry leaf yield in tobacco hybrids across environments. African Journal of Biotechnology 10: 4358–4364.
  • SAS Institute. (1999) SAS/STAT users guide, second edition. SAS Institute Inc., Cary, NC.
  • Tarakanovas T, Ruzgas V (2006) Additive main effect and multiplicative interaction analysis of grain yield data of wheat varieties in Lithuania. Agronomy Research 4: 91–98.
  • Zobel RW, Wright M.J, Gauch JHG (1988) Statistical analysis of a yield trial. Agronomy Journal 80: 388–393.
There are 18 citations in total.

Details

Primary Language Turkish
Subjects Agricultural Engineering
Journal Section Articles
Authors

Ş. Erdal This is me

E. Özata This is me

M. Pamukçu This is me

O. Savur This is me

M. Tezel This is me

R. R. Cengiz This is me

Publication Date December 1, 2012
Published in Issue Year 2012 Volume: 25 Issue: 2

Cite

APA Erdal, Ş., Özata, E., Pamukçu, M., Savur, O., et al. (2012). Cin mısır (Zea mays everta L.) hibritlerinde tane veriminin eklemeli ana etkiler ve çarpımsal interaksiyonlar analizi. Akdeniz University Journal of the Faculty of Agriculture, 25(2), 117-121.
AMA Erdal Ş, Özata E, Pamukçu M, Savur O, Tezel M, Cengiz RR. Cin mısır (Zea mays everta L.) hibritlerinde tane veriminin eklemeli ana etkiler ve çarpımsal interaksiyonlar analizi. Akdeniz University Journal of the Faculty of Agriculture. December 2012;25(2):117-121.
Chicago Erdal, Ş., E. Özata, M. Pamukçu, O. Savur, M. Tezel, and R. R. Cengiz. “Cin mısır (Zea Mays Everta L.) Hibritlerinde Tane Veriminin Eklemeli Ana Etkiler Ve çarpımsal Interaksiyonlar Analizi”. Akdeniz University Journal of the Faculty of Agriculture 25, no. 2 (December 2012): 117-21.
EndNote Erdal Ş, Özata E, Pamukçu M, Savur O, Tezel M, Cengiz RR (December 1, 2012) Cin mısır (Zea mays everta L.) hibritlerinde tane veriminin eklemeli ana etkiler ve çarpımsal interaksiyonlar analizi. Akdeniz University Journal of the Faculty of Agriculture 25 2 117–121.
IEEE Ş. Erdal, E. Özata, M. Pamukçu, O. Savur, M. Tezel, and R. R. Cengiz, “Cin mısır (Zea mays everta L.) hibritlerinde tane veriminin eklemeli ana etkiler ve çarpımsal interaksiyonlar analizi”, Akdeniz University Journal of the Faculty of Agriculture, vol. 25, no. 2, pp. 117–121, 2012.
ISNAD Erdal, Ş. et al. “Cin mısır (Zea Mays Everta L.) Hibritlerinde Tane Veriminin Eklemeli Ana Etkiler Ve çarpımsal Interaksiyonlar Analizi”. Akdeniz University Journal of the Faculty of Agriculture 25/2 (December 2012), 117-121.
JAMA Erdal Ş, Özata E, Pamukçu M, Savur O, Tezel M, Cengiz RR. Cin mısır (Zea mays everta L.) hibritlerinde tane veriminin eklemeli ana etkiler ve çarpımsal interaksiyonlar analizi. Akdeniz University Journal of the Faculty of Agriculture. 2012;25:117–121.
MLA Erdal, Ş. et al. “Cin mısır (Zea Mays Everta L.) Hibritlerinde Tane Veriminin Eklemeli Ana Etkiler Ve çarpımsal Interaksiyonlar Analizi”. Akdeniz University Journal of the Faculty of Agriculture, vol. 25, no. 2, 2012, pp. 117-21.
Vancouver Erdal Ş, Özata E, Pamukçu M, Savur O, Tezel M, Cengiz RR. Cin mısır (Zea mays everta L.) hibritlerinde tane veriminin eklemeli ana etkiler ve çarpımsal interaksiyonlar analizi. Akdeniz University Journal of the Faculty of Agriculture. 2012;25(2):117-21.