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RESEARCH ARTICLE

Phenotypic diversity and relationships among a worldwide durum wheat (Triticum turgidum L. var. durum) germplasm collection under rainfed conditions of Iran

Reza Mohammadi A C and Ahmed Amri B
+ Author Affiliations
- Author Affiliations

A Dryland Agricultural Research Institute (DARI), PO Box 67145-1164, Kermanshah, Iran.

B International Center for Agricultural Research in the Dry Areas (ICARDA), Aleppo, Syria.

C Corresponding author. Email: r.mohammadi@areo.ir

Crop and Pasture Science 64(2) 87-99 https://doi.org/10.1071/CP12403
Submitted: 28 November 2012  Accepted: 8 April 2013   Published: 7 May 2013

Abstract

Information on the variation available for different plant attributes has enabled germplasm collections to be effectively utilised in crop improvement. This study evaluated 380 durum wheat landraces, representing a worldwide durum wheat collection from 16 geographical origins, for several phenological and agronomic traits under rainfed conditions of Iran during three consecutive cropping seasons (2008–11). The experimental design was an unreplicated trial for all landraces, augmented by four repeated check cultivars. Best linear unbiased predictions (BLUPs) representing adjusted genotypic means were generated for individual trials using a mixed model. Multivariate analyses were used to measure the phenotypic diversity within the germplasm collection and relationships among landraces from different geographical regions. Combined analysis of variance indicated significant differences between years, landraces, and their interaction effects, indicating high variability among the germplasm across the years for each studied trait. Low heritability coupled with low genetic advance as a percentage of the mean was observed for days to heading (DTH) and days to maturity (DTM), whereas moderate heritability with moderate genetic advance as a percentage of the mean was exhibited for grain yield (YLD) followed by 1000-kernel weight (TKW) and plant height (PHT). According to Shannon’s phenotypic diversity index, collections from Iran (which represented a high percentage of germplasm tested) exhibited lower diversity in quantitative traits, especially for phenological traits, i.e. DTH and DTM, relative to landraces from other origins. Biplot analyses indicated several significant patterns among landraces from different geographical regions. The landraces with American and Australian origins were closely associated with each other and can be characterised by low yield productivity, high PHT, and high infestation by wheat stem sawfly (WSS). In contrast, the germplasm from Asian origins showed high yield potential and high TKW with good tolerance to WSS. The results indicated that the Iranian landraces with the lowest yield tend to be late in flowering and maturity. In conclusion, landraces with a wide genetic diversity were identified and can be used to achieve breakthrough in the durum wheat genetic improvement.

Additional keywords: agronomic traits, durum wheat, landraces, multivariate analysis, phenotypic diversity, wheat stem sawfly.


References

Bartual R, Carbonell EA, Green DE (1985) Multivariate analysis of a collection of soybean cultivars for southeastern Spain. Euphytica 34, 113–123.
Multivariate analysis of a collection of soybean cultivars for southeastern Spain.Crossref | GoogleScholarGoogle Scholar |

Belay G, Tesemma T, Bechere E, Mitiku D (1995) Natural and human selection for purple-grain tetraploid wheats in the Ethiopian highlands. Genetic Resources and Crop Evolution 42, 387–391.
Natural and human selection for purple-grain tetraploid wheats in the Ethiopian highlands.Crossref | GoogleScholarGoogle Scholar |

Bhargava A, Shukla S, Katiyar RS, Ohri D (2003) Selection parameters for genetic improvement in Chenopodium grain on sodic soil. Journal of Applied Horticulture 5, 45–48.

Bhatt E (1976) An application of multivariate analysis to selection for quality characters in wheat. Australian Journal of Agricultural Research 27, 11–18.
An application of multivariate analysis to selection for quality characters in wheat.Crossref | GoogleScholarGoogle Scholar |

Blum A (1997) Crop responses to drought and the interpretation of adaptation. In ‘Drought tolerance in higher plants: genetic, physiological and molecular biological analysis’. (Ed. J Belhassen) pp. 57–70. (Kluwer: Dordrecht, Netherlands)

Blum A, Golan G, Mayer J, Sinmena B, Shpiler L, Burra J (1989) The drought response of landraces of wheat from the northern Negev desert in Israel. Euphytica 43, 87–96.
The drought response of landraces of wheat from the northern Negev desert in Israel.Crossref | GoogleScholarGoogle Scholar |

Brennan JP, Aw-Hassan A, Quade KJ, Nordblom TL (2002) Impact of ICARDA Research on Australian Agriculture. Economic Research Report No. 11. NSW Agriculture, Wagga Wagga, NSW.

Broich SL, Palmer RG (1980) A cluster analysis of wild and domesticated soybean phenotypes. Euphytica 29, 23–32.
A cluster analysis of wild and domesticated soybean phenotypes.Crossref | GoogleScholarGoogle Scholar |

Burton GW (1952) Quantitative inheritance in grass. Proceeding Sixth International Silvae Genetics 37, 221–227.

Camacho Villa TC, Maxted N, Scholten MA, Ford-Lloyd BV (2005) Defining and identifying crop landraces. Plant Genetic Resources 3, 373–384.
Defining and identifying crop landraces.Crossref | GoogleScholarGoogle Scholar |

Ceccarelli S (1989) Wide adaptation: how wide? Euphytica 40, 197–205.

DeLacy IH, Skovmand B, Huerta J (2000) Characterization of Mexican wheat landraces using agronomically useful attributes. Genetic Resources and Crop Evolution 47, 591–602.
Characterization of Mexican wheat landraces using agronomically useful attributes.Crossref | GoogleScholarGoogle Scholar |

Dodig D, Zorić M, Kandić V, Perović D, Šurlan-Momirović G (2012) Comparison of responses to drought stress of 100 wheat accessions and landraces to identify opportunities for improving wheat drought resistance. Plant Breeding 131, 369–379.
Comparison of responses to drought stress of 100 wheat accessions and landraces to identify opportunities for improving wheat drought resistance.Crossref | GoogleScholarGoogle Scholar |

Egesi CN, Ilona P, Ogbe FO, Akoroda M, Dixon A (2007) Genetic variation and genotype×environment interaction for yield and other agronomic traits in Cassava in Nigeria. Agronomy Journal 99, 1137–1142.
Genetic variation and genotype×environment interaction for yield and other agronomic traits in Cassava in Nigeria.Crossref | GoogleScholarGoogle Scholar |

Elfadl E, Reinbrecht C, Claupein W (2010) Evaluation of phenotypic variation in a worldwide germplasm collection of safflower (Carthamus tinctorius L.) grown under organic farming conditions in Germany. Genetic Resources and Crop Evolution 57, 155–170.
Evaluation of phenotypic variation in a worldwide germplasm collection of safflower (Carthamus tinctorius L.) grown under organic farming conditions in Germany.Crossref | GoogleScholarGoogle Scholar |

Ellis RP, Foster BP, Robinson D, Handley LL, Gordon DC, Russell JR, Powell W (2000) Wild barley: a source of genes for crop improvement in the 21st century? Journal of Experimental Botany 51, 9–17.
Wild barley: a source of genes for crop improvement in the 21st century?Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXpslKjsg%3D%3D&md5=c5a40d815d4852d8b935fa2d121393aaCAS | 10938791PubMed |

Falconer DS (1981) ‘Introduction to quantitative genetics.’ 2nd edn (Longman: London and New York)

Falconer DS, Mackay TFC (1996) ‘Introduction to quantitative genetics.’ 4th edn (Longmans Green: Harlow, UK)

Fernandez-Aparicio M, Flores F, Rubiales D (2009) Field response of Lathyrus cicera germplasm to crenate broomrape (Orobanche crenata). Field Crops Research 113, 321–327.
Field response of Lathyrus cicera germplasm to crenate broomrape (Orobanche crenata).Crossref | GoogleScholarGoogle Scholar |

Harlan JR (1975) ‘Crops and man.’ (ASA/CSSA/SSSA: Madison, WI)

IBPGR (1992) ‘Directory of germplasm collections 7. Forages.’ (Eds E Bettencourt, Th. Hazekamp, MC Perry) (International Board for Plant Genetic Resources: Rome)

Jaradat AA (1992) Breeding potential of durum wheat landraces from Jordan. I. Phenotypic diversity. Hereditas 116, 301–304.

Johnson HW, Robinson HF, Comstock RE (1955) Estimates of genetic and environmental variability in soybean. Agronomy Journal 47, 314–318.
Estimates of genetic and environmental variability in soybean.Crossref | GoogleScholarGoogle Scholar |

Lush KL (1940) Intrasite correlation and regression of spring on dams as a method of establishing heritability of characters. Proceedings of the American Society of Animal Production 33, 293–301.

Manyasa EO, Silim SN, Githiri SM, Christiansen JL (2008) Diversity in Tanzanian pigeonpea [Cajanus cajan (L.)Millsp.] landraces and their response to environments. Genetic Resources and Crop Evolution 55, 379–387.
Diversity in Tanzanian pigeonpea [Cajanus cajan (L.)Millsp.] landraces and their response to environments.Crossref | GoogleScholarGoogle Scholar |

Mead R, Curnow RN, Hasted AM (2002) ‘Statistical methods in agriculture and experimental biology.’ 3rd edn. Texts in Statistical Science Series. pp. 406–418. (Chapman and Hall/CRC: London)

Mehrota N, Chaudhary BD (1981) Genetic diversity in safflower (Carthamus tinctorius L.). In ‘Perspectives in cytology and genetics. Proceedings of the 3rd All India Congress of Cytology and Genetics’. Vol. 3. (Eds GK Manna, U Sinha) pp. 659–662. (Hindasia Publishers: New Delhi)

Mohammadi R, Haghparast R, Amri A, Ceccarelli S (2010) Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials. Crop & Pasture Science 61, 92–101.
Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials.Crossref | GoogleScholarGoogle Scholar |

Mohammadi R, Sadeghzadeh D, Armion M, Amri A (2011) Evaluation of durum wheat experimental lines under different climate and water regime conditions of Iran. Crop & Pasture Science 62, 137–151.
Evaluation of durum wheat experimental lines under different climate and water regime conditions of Iran.Crossref | GoogleScholarGoogle Scholar |

Moragues M, Garcıa del Moral LF, Moralejo M, Royo C (2006) Yield formation strategies of durum wheat landraces with distinct pattern of dispersal within the Mediterranean basin I: Yield components. Field Crops Research 95, 194–205.
Yield formation strategies of durum wheat landraces with distinct pattern of dispersal within the Mediterranean basin I: Yield components.Crossref | GoogleScholarGoogle Scholar |

Mutava RN, Prasad PVV, Tuinstra MR, Kofoid KD, Yu J (2011) Characterization of sorghum genotypes for traits related to drought tolerance. Field Crops Research 123, 10–18.
Characterization of sorghum genotypes for traits related to drought tolerance.Crossref | GoogleScholarGoogle Scholar |

Ogunbodede BA (1997) Multivariate analysis of genetic diversity in Kenaf, Hibiscus cannabinus (L.). African Crop Science Journal 5, 127–134.
Multivariate analysis of genetic diversity in Kenaf, Hibiscus cannabinus (L.).Crossref | GoogleScholarGoogle Scholar |

Ortiz R, Madsen S, Vuylsteke D (1998) Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors. Theoretical and Applied Genetics 96, 904–911.
Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors.Crossref | GoogleScholarGoogle Scholar |

Ortiz R, Braun HJ, Crossa J, Crouch JH, Davenport G, Dixon J, Dreisigacker S, Duveiller E, Huerta J, Joshi AK, Kishii M, Kosina P, Manes Y, Mezzalama M, Morgounov A, Murakami J, Nicol J, Ortiz-Ferrara G, Iván Ortiz-Monasterio J, Payne TS, Javier Peña R, Reynolds MP, Sayre KD, Sharma RC, Singh RP, Wang J, Warburton M, Wu H, Iwanaga M (2008) Wheat genetic resources enhancement by the International Maize and Wheat Improvement Center (CIMMYT). Genetic Resources and Crop Evolution 55, 1095–1140.
Wheat genetic resources enhancement by the International Maize and Wheat Improvement Center (CIMMYT).Crossref | GoogleScholarGoogle Scholar |

Payne RW, Murray DA, Harding SA, Baird DB, Soutar DM (2009) ‘Genstat for Windows. Introduction.’ 12th edn (VSN International: Hemel Hempstead, UK)

Pecetti L, Boggini G, Gorham J (1994) Performance of durum wheat landraces in a Mediterranean environment (eastern Sicily). Euphytica 80, 191–199.
Performance of durum wheat landraces in a Mediterranean environment (eastern Sicily).Crossref | GoogleScholarGoogle Scholar |

Pswarayi A, Van Eeuwijk FA, Ceccarelli S, Grando S, Comadran J, Russell JR, Francia E, Pecchioni N, Li Destri O, Akar T, Al-Yassin A, Benbelkacem A, Choumane W, Karrou M, Ouabbou H, Bort J, Araus JL, Molina-Cano JL, Thomas WTB, Romagosa I (2008) Barley adaptation and improvement in the Mediterranean basin. Plant Breeding 127, 554–560.
Barley adaptation and improvement in the Mediterranean basin.Crossref | GoogleScholarGoogle Scholar |

Robinson HF, Comstock RE, Harvey PH (1949) Estimates of heritability and the degree of dominance in corn. Agronomy Journal 41, 353–359.
Estimates of heritability and the degree of dominance in corn.Crossref | GoogleScholarGoogle Scholar |

Shakhatreh Y, Haddad N, Alrababah M, Grando S, Ceccarelli S (2010) Phenotypic diversity in wild barley (Hordeum vulgare L. ssp. spontaneum (C. Koch) Thell.) accessions collected in Jordan. Genetic Resources and Crop Evolution 57, 131–146.
Phenotypic diversity in wild barley (Hordeum vulgare L. ssp. spontaneum (C. Koch) Thell.) accessions collected in Jordan.Crossref | GoogleScholarGoogle Scholar |

Shands HL, Wiesner LE (1992) ‘Use of plant introductions in cultivar development Part I.’ CSSA Special Publication No. 17. (CSSA: Madison, WI)

Shannon CE (1948) A mathematical theory of communication. The Bell System Technical Journal 27, 379–423.

Shukla S, Bhargava A, Chatterjee A, Singh SP (2004) Estimates of genetic parameters to determine variability for foliage yield and its different quantitative and qualitative traits in vegetable amaranth (A. tricolor). Journal of Genetics & Breeding 58, 169–176.

Shukla S, Bhargava A, Chatterjee A, Srivastava A, Singh SP (2006) Genotypic variability in vegetable amaranth (Amaranthus tricolor L.) for foliage yield and its contributing traits over successive cuttings and years. Euphytica 151, 103–110.
Genotypic variability in vegetable amaranth (Amaranthus tricolor L.) for foliage yield and its contributing traits over successive cuttings and years.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XhtFaks7nN&md5=f6ece09c32496a79db0cd68e15f14b5eCAS |

Singh SP, Nodari R, Gepts P (1991) Genetic diversity in cultivated common bean: I. Allozymes. Crop Science 31, 19–23.
Genetic diversity in cultivated common bean: I. Allozymes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK3MXhvVahsLo%3D&md5=92e8d35379b05818446a96dad498e75cCAS |

Singh M, Malhotra RS, Ceccarelli S, Sarker A, Grando S, Erskine W (2003) Spatial variability models to improve dryland field trials. Experimental Agriculture 39, 151–160.
Spatial variability models to improve dryland field trials.Crossref | GoogleScholarGoogle Scholar |

Szamosi C, Solmaz I, Sari N, Barsony C (2009) Morphological characterization of Hungarian and Turkish watermelon (Citrullus lanatus (Thunb.) Matsum. et Nakai) genetic resources. Genetic Resources and Crop Evolution 56, 1091–1105.
Morphological characterization of Hungarian and Turkish watermelon (Citrullus lanatus (Thunb.) Matsum. et Nakai) genetic resources.Crossref | GoogleScholarGoogle Scholar |

Tambussi EA, Nogues S, Araus JL (2005) Ear of durum wheat under water stress: water relations and photosynthetic metabolism. Planta 221, 446–458.
Ear of durum wheat under water stress: water relations and photosynthetic metabolism.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXkslCjt7c%3D&md5=77898fdb088b39f36d53f08289507e35CAS | 15645303PubMed |

Tesemma T, Tsegaye S, Belay G, Bechere E, Mitiku D (1998) Stability of performance of tetraploid wheat landraces in the Ethiopian highland. Euphytica 102, 301–308.
Stability of performance of tetraploid wheat landraces in the Ethiopian highland.Crossref | GoogleScholarGoogle Scholar |

Vidya C, Oommen SK, Kumar V (2002) Genetic variability and heritability of yield and related characters in yardlong bean. Journal of Tropical Agriculture 40, 11–13.

Yan W (2001) GGEbiplot: A Windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agronomy Journal 93, 1111–1118.
GGEbiplot: A Windows application for graphical analysis of multienvironment trial data and other types of two-way data.Crossref | GoogleScholarGoogle Scholar |

Yan W, Frégeau-Reid J (2008) Breeding line selection based on multiple traits. Crop Science 48, 417–423.
Breeding line selection based on multiple traits.Crossref | GoogleScholarGoogle Scholar |

Yan W, Rajcan I (2002) Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Science 42, 11–20.
Biplot analysis of test sites and trait relations of soybean in Ontario.Crossref | GoogleScholarGoogle Scholar | 11756248PubMed |