Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Assessment of field pea (Pisum sativum L.) grain yield, aerial biomass and flowering date stability in Mediterranean environments

R. Iglesias-García A F , E. Prats A , F. Flores B , M. Amri C D , A. Mikić E and D. Rubiales A
+ Author Affiliations
- Author Affiliations

A Institute for Sustainable Agriculture, CSIC, Avenida Menéndez Pidal s/n, 14004 Córdoba, Spain.

B ETSI La Rábida., Univ. Huelva, 21819 Palos de la Frontera, Spain.

C University of Carthage, Field Crop Laboratory (INRAT), Regional Field Crop Research Center of Beja (CRRGC), Tunisia.

D Present address: ICARDA, Avenue Mohamed Belarbi Alaoui, BP 6299, Al-Irfane Rabat, Morocco.

E Institute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, Serbia.

F Corresponding author. Email: rbkig@hotmail.com

Crop and Pasture Science - https://doi.org/10.1071/CP16423
Submitted: 9 November 2016  Accepted: 8 June 2017   Published online: 4 August 2017

Abstract

Mediterranean environments are of most interest to study pea adaptability to terminal drought conditions especially in the current context of global climate change. In our work we have tested nine pea cultivars in five South European and North African locations, characterised by different agro climatic conditions within the Mediterranean climate. Data were processed through the additive main effects and multiplicative interaction analysis. Grain yield, aboveground biomass and flowering date were assessed within each mega-environment with parametric and non-parametric methods, establishing ranks for the genotypes within each condition attending to their stability parameters and mean values. The field analysis revealed HR1 as a wide-adapted genotype, whereas others such as Desso showed the best adaptation in South Mediterranean areas. Our results also highlighted the potential interest of these genotypes and others (i.e. Messire and ZP108) in breeding programs and further studies on drought tolerance.

Additional keywords: drought tolerance, dry pea, Genotype × Environment interaction, phenology.


References

Annicchiarico P (1997) Joint regression vs AMMI analysis of genotype × environment interactions for cereals in Italy. Euphytica 94, 53–62.
Joint regression vs AMMI analysis of genotype × environment interactions for cereals in Italy.CrossRef |

Annicchiarico P, Lannucci A (2008) Adaptation strategy, germplasm type and adaptive traits for field pea improvement in Italy based on variety responses across climatically contrasting environments. Field Crops Research 108, 133–142.
Adaptation strategy, germplasm type and adaptive traits for field pea improvement in Italy based on variety responses across climatically contrasting environments.CrossRef |

Badgley C, Moghtader J, Quintero E, Zakem E, Chappell MJ, Aviles-Vazquez K, Samulon A, Perfecto I (2007) Organic agriculture and the global food supply. Renewable Agriculture and Food Systems 22, 86–108.
Organic agriculture and the global food supply.CrossRef |

Becker HC, Leon J (1988) Stability analysis in plant breeding. Plant Breeding 101, 1–23.
Stability analysis in plant breeding.CrossRef |

Brancourt-Hulmel M, Lecomte C (2003) Effect of environmental variates on genotype x environment interaction of winter wheat: a comparison of biadditive factorial regression to AMMI. Crop Science 43, 608–617.

Castillejo MÁ, Iglesias-García R, Wienkoop S, Rubiales D (2016) Label-free quantitative proteomic analysis of tolerance to drought in Pisum sativum. Proteomics 16, 2776–2787.
Label-free quantitative proteomic analysis of tolerance to drought in Pisum sativum.CrossRef | 1:CAS:528:DC%2BC28XhtlKqsr7O&md5=e96a85798734ae5670554276326ed18dCAS |

Cornelius PL, Seyedsadr M, Crossa J (1992) Using the shifted multiplicative model to search for separability in crop cultivar trials. Theoretical and Applied Genetics 84, 161–172.

Cousin R (1997) Peas (Pisum sativum L.). Field Crops Research 53, 111–130.
Peas (Pisum sativum L.).CrossRef |

Crossa J (1990) Statistical analyses of multi-location trials. Advances in Agronomy 44, 55–85.
Statistical analyses of multi-location trials.CrossRef |

Ćupina B, Zlatković B, Smýkal P, Mikić A, Jajić I, Zeremski-Škorić T, Medović A (2011) In situ evaluation of a Pisum sativum subsp. elatius population from the valley of the river Pčinja in southeast Serbia. Pisum Genetics 43, 20–24.

Dixon AGO, Ngeve JM, Nukenine EN (2002) Genotype x environment effects on severity of cassava bacterial blight disease caused by Xanthomonas axonopodis pv. manihotis. European Journal of Plant Pathology 108, 763–770.
Genotype x environment effects on severity of cassava bacterial blight disease caused by Xanthomonas axonopodis pv. manihotis.CrossRef | 1:CAS:528:DC%2BD38Xot12rtrc%3D&md5=eef3516f4ac986aaa419532ef554ae46CAS |

Drinkwater LE, Wagoner P, Sarrantonio M (1998) Legume-based cropping systems have reduced carbon and nitrogen losses. Nature 396, 262–265.
Legume-based cropping systems have reduced carbon and nitrogen losses.CrossRef | 1:CAS:528:DyaK1cXns12lu7s%3D&md5=a671594d6bf3288780c17fc21b01febeCAS |

FAO/IIASA/ISRIC/ISSCAS/JRC (2012) ‘Harmonized World Soil Database (version 1.2).’ (FAO: Rome, Italy and IIASA: Laxenburg, Austria)

FAOSTAT (2013) ‘Food and agriculture data.’ (Food and Agriculture Organization of the United Nations: Rome) Available at: http://faostat.fao.org

Flores F, Moreno MT, Cubero JI (1998) A comparison of univariate and multivariate methods to analyze G x E interaction. Field Crops Research 56, 271–286.
A comparison of univariate and multivariate methods to analyze G x E interaction.CrossRef |

Gauch HG (1992) ‘Statistical analysis of regional yield trials: AMMI analysis of factorial designs.’ (Elsevier Science Publishers: Oxford, UK)

Gauch HG (2006) Statistical analysis of yield trials by AMMI and GGE. Crop Science 46, 1488–1500.
Statistical analysis of yield trials by AMMI and GGE.CrossRef |

Gauch HG (2013) A simple protocol for AMMI analysis of yield trials. Crop Science 53, 1860–1869.
A simple protocol for AMMI analysis of yield trials.CrossRef |

Gauch HG, Kang MS (1996) ‘Genotype-by-environment interaction.’ (CRC Press: Boca Raton, FL)

Gauch HG, Piepho HP, Annicchiarico P (2008) Statistical analysis of yield trials by AMMI and GGE: Further considerations. Crop Science 48, 866–889.
Statistical analysis of yield trials by AMMI and GGE: Further considerations.CrossRef |

Gollob HF (1968) A statistical model which combines features of factor analytic and analysis of variance techniques. Psychometrika 33, 73–115.
A statistical model which combines features of factor analytic and analysis of variance techniques.CrossRef | 1:STN:280:DyaF1c3jvVejuw%3D%3D&md5=b100d24f05bb30968ebdfa8f9c158152CAS |

Graham PH, Vance CP (2003) Legumes: importance and constraints to greater use. Plant Physiology 131, 872–877.
Legumes: importance and constraints to greater use.CrossRef | 1:CAS:528:DC%2BD3sXisFemtb4%3D&md5=e55adb3a841ee66f3ad42c42e3150af0CAS |

Grzesiak S, Lijima M, Kono Y, Yamauchi A (1997) Differences in drought tolerance between cultivars of field bean and field pea. A comparison of drought- resistant and drought-sensitive cultivars. Acta Physiologiae Plantarum 19, 349–357.
Differences in drought tolerance between cultivars of field bean and field pea. A comparison of drought- resistant and drought-sensitive cultivars.CrossRef |

Haussmann BIG, Hess DE, Reddy BVS, Mukuru SZ, Kayentao M, Welz HG, Geiger HH (2001) Pattern analysis of genotype x environment interaction for striga resistance and grain yield in African sorghum trials. Euphytica 122, 297–308.
Pattern analysis of genotype x environment interaction for striga resistance and grain yield in African sorghum trials.CrossRef |

Hebblethwaite PD, Heath MC, Dawkins TC (2013) ‘The pea crop: a basis for improvement.’ (Elsevier: Oxford, UK)

Huang YF, Kuan WH, Chiueh PT, Lo SL (2011) Pyrolysis of biomass by thermal analysis–mass spectrometry (TA–MS). Bioresource Technology 102, 3527–3534.
Pyrolysis of biomass by thermal analysis–mass spectrometry (TA–MS).CrossRef | 1:CAS:528:DC%2BC3MXks1Ghug%3D%3D&md5=2b57857bac265cb429ca6048e8391e3bCAS |

Huehn M (1979) Beitrage zur erfassung der phanotypischen stabilitat. EDV in Medizin und Biologie 10, 112–117.

Iglesias-García R, Prats E, Rubiales D (2012a) Use of physiological parameters as tools to discriminate water stress tolerance in pea. In ‘International Conference on Bioscience: Biotechnology and Biodiversity’. Novi Sad, Serbia. (Ed. S Terzić) pp. 91–94. (Institut za Ratarstvo i Povrtarstvo & Semenarska Asocijacija Srbije: Novi Sad, Serbia)

Iglesias-García R, Prats E, Rubiales D (2012b) ‘Identification and characterization of drought resistance sources in pea.’ (University of Córdoba: Córdoba, Spain)

Jacobsen SE, Jensen CR, Liu F (2012) Improving crop production in the arid Mediterranean climate. Field Crops Research 128, 34–47.
Improving crop production in the arid Mediterranean climate.CrossRef |

Jovanović Ž, Stanisavljević N, Nikolić A, Medović A, Mikić A, Radović S, Đorđević V (2011) Pisum & Ervilia Tetovac – made in Early Iron Age Leskovac. Part two. Extraction of the ancient DNA from charred seeds from the site of Hissar in South Serbia. Field and Vegetable Crops Research 48, 227–232.

Kang MS (1988) A rank-sum method for selecting high-yielding, stable corn genotypes. Cereal Research Communications 16, 113–115.

Karpenstein-Machan M, Stuelpnagel R (2000) Biomass yield and nitrogen fixation of legumes monocropped and intercropped with rye and rotation effects on a subsequent maize crop. Plant and Soil 218, 215–232.
Biomass yield and nitrogen fixation of legumes monocropped and intercropped with rye and rotation effects on a subsequent maize crop.CrossRef | 1:CAS:528:DC%2BD3cXhvVGrtbo%3D&md5=eb7fc04d5d214f5b18566db43a139147CAS |

Ketata HY, Yau SK, Nachit M (1989) Relative consistency performance across environments. In ‘International Symposium on Physiology and Breeding of Winter Cereals for stressed Mediterranean Environments’. Montpellier, France. pp. 391–400. (INRA: Paris)

Lin CS, Binns MR (1988) A method of analyzing cultivar × location × year experiments: A new stability parameter. Theoretical and Applied Genetics 76, 425–430.
A method of analyzing cultivar × location × year experiments: A new stability parameter.CrossRef | 1:STN:280:DC%2BC2c7mvVCgsg%3D%3D&md5=50a86a6f05976c4694fb0f58806b9a4dCAS |

McIntosh MS (1983) Analysis of combined experiments. Agronomy Journal 75, 153–155.
Analysis of combined experiments.CrossRef |

Medović A, Mikić A, Ćupina B, Jovanović Ž, Radović S, Nikolić A, Stanisavljević N (2011) Pisum & Ervilia Tetovac - made in Early Iron Age Leskovac. Part one. Two charred pulse crop storages of the fortified hill fort settlement Hissar in Leskovac, South Serbia. Ratarstvo i Povrtarstvo 48, 219–226.
Pisum & Ervilia Tetovac - made in Early Iron Age Leskovac. Part one. Two charred pulse crop storages of the fortified hill fort settlement Hissar in Leskovac, South Serbia.CrossRef |

Metzger MJ, Bunce RGH, Jongman RHG, Mücher CA, Watkins JW (2005) A climatic stratification of the environment of Europe. Global Ecology and Biogeography 14, 549–563.
A climatic stratification of the environment of Europe.CrossRef |

Mikić A, Mihailović V, Ćupina B, Đorđević V, Milić D, Duc G, Stoddard FL, Lejeune-Hénaut I, Marget P, Hanocq E (2011) Achievements in breeding autumn-sown annual legumes for temperate regions with emphasis on the continental Balkans. Euphytica 180, 57–67.
Achievements in breeding autumn-sown annual legumes for temperate regions with emphasis on the continental Balkans.CrossRef |

Mohammadi R, Amri A (2013) Genotype × environment interaction and genetic improvement for yield and yield stability of rainfed durum wheat in Iran. Euphytica 192, 227–249.
Genotype × environment interaction and genetic improvement for yield and yield stability of rainfed durum wheat in Iran.CrossRef | 1:CAS:528:DC%2BC3sXpvFamurk%3D&md5=c05311f1c081c08a98246a18c823e717CAS |

Moot DJ, McNeil DL (1995) Yield components, harvest index and plant type in relation to yield differences in field pea genotypes. Euphytica 86, 31–40.
Yield components, harvest index and plant type in relation to yield differences in field pea genotypes.CrossRef |

Nassar R, Huehn M (1987) Studies on estimation of phenotypic stability: tests of significance for non-parametric measures of phenotypic stability. Biometrics 43, 45–53.
Studies on estimation of phenotypic stability: tests of significance for non-parametric measures of phenotypic stability.CrossRef |

Nemecek T, von Richthofen JS, Dubois G, Casta P, Charles R, Pahl H (2008) Environmental impacts of introducing grain legumes into European crop rotations. European Journal of Agronomy 28, 380–393.
Environmental impacts of introducing grain legumes into European crop rotations.CrossRef |

Piepho HP (1995) Robustness of statistical test for multiplicative terms in the additive main e?ects and multiplicative interaction model for cultivar trials. Theoretical and Applied Genetics 90, 438–443.
Robustness of statistical test for multiplicative terms in the additive main e?ects and multiplicative interaction model for cultivar trials.CrossRef | 1:STN:280:DC%2BC2c7htlWksg%3D%3D&md5=1602111c9efa639281bde2d1a1ef93bfCAS |

Pinnschmidt HO, Hovmoller MS (2002) Genotype × environment interactions in the expression of net blotch resistance in spring and winter barley varieties. Euphytica 125, 227–243.
Genotype × environment interactions in the expression of net blotch resistance in spring and winter barley varieties.CrossRef | 1:CAS:528:DC%2BD38XksFehsrY%3D&md5=cd7fbe4c3d893882b15313c7dab946b3CAS |

Purchase JL (1997) Parametric analysis to describe G × E interaction and yield stability in winter wheat. University of the Orange Free State, Bloemfontein, South Africa.

Roche R, Jeuffroy MH, Ney B (1999) Comparison of different models predicting the date of beginning of flowering in pea (Pisum sativum L.). Ecological Modelling 118, 213–226.
Comparison of different models predicting the date of beginning of flowering in pea (Pisum sativum L.).CrossRef |

Rubiales D (2015) Pea in Mediterranean agriculture. Legume Perspectives 10, 25–26.

Rubiales D, Mikic A (2015) Introduction: legumes in sustainable agriculture. Critical Reviews in Plant Sciences 34, 2–3.
Introduction: legumes in sustainable agriculture.CrossRef |

Rubiales D, Fernández-Aparicio M, Moral A, Barilli E, Sillero JC, Fondevilla S (2009) Disease resistance in pea (Pisum sativum L.) types for autumn sowings in Mediterranean environments. Czech Journal of Genetics and Plant Breeding 45, 135–142.

Rubiales D, Ambrose MJ, Domoney C, Burstin J (2011) Pea. In ‘Genetics, genomics and breeding of cool season grain legumes’. (Eds M Pérez de la Vega, AM Torres, JI Cubero, C Kole) pp. 1–49. (Science Publishers: Enfield, NH)

Sabaghnia N, Mohammadi M, Karimizadeh R (2013) Parameters of AMMI model for yield stability analysis in durum wheat. Agriculturae Conspectus Scientificus 78, 119–124.

Sadras VO, Calderini D (2009) ‘Crop physiology: applications for genetic improvement and agronomy.’ (Elsevier: London)

Sánchez FJ, Manzanares M, de Andres EF, Tenorio JL, Ayerbe L (1998) Turgor maintenance, osmotic adjustment and soluble sugar and proline accumulation in 49 pea cultivars in response to water stress. Field Crops Research 59, 225–235.
Turgor maintenance, osmotic adjustment and soluble sugar and proline accumulation in 49 pea cultivars in response to water stress.CrossRef |

Shukla GK (1972) Some statistical aspects of partitioning genotype-environmental components of variability. Heredity 29, 237–245.
Some statistical aspects of partitioning genotype-environmental components of variability.CrossRef | 1:STN:280:DyaE3s%2FjsFGisA%3D%3D&md5=a10f1b20bdc8bc3e7f337f853fd9710fCAS |

Smýkal P, Aubert G, Burstin J, Coyne CJ, Ellis NTH, Flavell AJ, Ford R, Hýbl M, Macas J, Neumann P, Mcphee KE, Redden RJ, Rubiales D, Weller JL, Warkentin TD (2012) Pea (Pisum sativum L.) in the genomic era. Agronomy 2, 74–115.
Pea (Pisum sativum L.) in the genomic era.CrossRef |

Wricke G (1962) On a method of understanding the biological diversity in field research. Zeitschrift fur Pflanzenzuchtung - Journal of Plant Breeding 47, 92–96.

Yan W, Kang MS (2002) ‘GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists.’ (CRC Press: Boca Raton, FL)

Yan W, Kang MS, Ma B, Woods S, Cornelius PL (2007) GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science 47, 643–653.
GGE biplot vs. AMMI analysis of genotype-by-environment data.CrossRef |

Zinsou V, Wydra K, Ahohuendo B, Hau B (2005) Genotype x environment interactions in symptom development and yield of cassava genotypes with artificial and natural cassava bacterial blight infections. European Journal of Plant Pathology 111, 217–233.
Genotype x environment interactions in symptom development and yield of cassava genotypes with artificial and natural cassava bacterial blight infections.CrossRef |

Zobel RW (1994) Stress resistance and root systems. In ‘Proceedings of a Workshop on Adaptation of Plants to Soil Stress’. 1–4 August 1993, Lincoln, NE. Publication No. 94–2, pp. 80–100. (INTSORMIL, University of Nebraska: Lincoln, NE)



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