Application of supervised and unsupervised algorithms to find the important features related to barley (Hurdeum vulgare L.) grain yield: A new vista in data mining

Australian Journal of Crop Science

Volumn 8, Issue 12, 2014, Pages 1590-1596

  Bijanzadeh, Ehsan ^a   Naderi, Ruhollah ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Attribute weighting; Barley; Data mining; Feature selection

Indexed keywords

EID: 84918540491     PISSN: 18352693     EISSN: 18352707     Source Type: Journal    
DOI: None     Document Type: Article

References (31)

1. Afzalifar A, Zahravi M, Bihamta M (2011) Evaluation of barley drought tolerated genotypes (Hurdeum Spantaneum L.) in Karaj region. J Agr Plant Bre. 7: 25-44.
2. Ahmadi A, Hosseinpour T (2012) Considering the relationships among yield, yield components and agronomic characteristics of barley cultivars under dryland condition in Khorrambad. Crop Physiol. 4: 37-51.
3. Ashrafi EA, Alemzadeh M, Ebrahimi E, Ebrahimie N, Dadkhodaei A, Ebrahimi M (2011) Determining specific amino acid features in P1B-ATPase heavy metal transporters which provide a unique ability in small number of organisms to cope with heavy metal pollution. Bioinfo Biol Insights. 5: 59-82.
4. Austin RB (1984) Crop characteristics and the potential of wheat yield. J Agric Sci Camb. 98: 447-453
5. Bagheri A, Heidari Sharif Abad H (2007) Effect of drought and salt on yield, yield components, and ion content of hull-less barley (Hordeum sativum L.). J New Agric Sci. 3: 3-8.
6. Beltran NH, Duarte-Mermoud MA, Salah SA, Bustos MA, Pena-Neira AI, Loyola EA, Jalocha JW (2005) Feature selection algorithms using Chilean wine chromatograms as examples. J Food Eng. 67: 483-490
7. Bijanzadeh E, Emam Y, Ebrahimie E, Ebrahimie M (2012) Application of unsupervised weighting algorithms for identifying important attributes and factors contributing to grain and biological yields of wheat. Crop Bre J. 2:111-117
8. Bijanzadeh E, Emam Y, Ebrahimie E (2010) Determining the most important features contributing to wheat grain yield using supervised feature selection model. Aust J Crop Sci. 4: 402-407.
9. Blum AL, Langley P (1997) Selection of relevant features and examples in machine learning. Arti Intell. 97: 245-271
10. Dadashi M, Norinia AA, Marteza Askar M, Azizi Chakharchaman S (2000) Evaluation some morphological, physiological characteristic correlated to yield of naked barley cultivars. Weed and Crop Ecophys. 15:29-40.
11. Eivazi A, Abdoulahi, S, Hosseini Salkadeh SG, Majidi Harvan A, Mohammadi SA (2005) Effect of drought and salt stress on some physiologic and agronomic of barley cultivars. Plant Seed. 21:441-456.
12. Emam Y (2002) Effect of planting density and chlormequat chloride on morphological and physiological characteristics of winter barley (Hordeum vulgare L.) cultivar. J Agric Sci Tech. 2:75-83.
13. Emam Y (2002) Effects of nitrogen on growth and grain yield of winter barley cultivar (CV. Valfajr). Iran Agric Res. 16:127-138.
14. Fisher RA (2011) Wheat physiology: a review of recent developments. Crop Pasture Sci. 62: 95-114.
15. Hessadi P (2006) Selection for drought resistance in lines of barley in Kermanshah region (Hordeum vulgare). J Agric Sci. 12: 143-152.
16. Iravani M, Solouki M, Rezaie A, Siasar, B, Kouhkan, SA (2008) Investigation the diversity and relationship between agronomical traits and seed yield in barley advanced lines using factor analysis. J Sci Tech Agric Nat Res. 45: 137-145.
17. Karaminia, A, Kocheki A (2010) Evaluation the effect of planting date on growth and yield of some barley cultivars. Paj and Saz. 15: 40-44.
18. Lakizadeh A, Agha-Golzadeh P, Ebrahimie M, Ebrahimie E (2011) Engineering thermostable enzymes: Application of unsupervised clustering algorithms. Adv Stud Biol 3: 63-78.
19. Liu H, Motoda H (2008) Computational Methods of Feature Selection. Chapman & Hall/CRC Taylor & Francis Group 6000 Broken Sound Parkway NW
20. Malakoti MJ (2003) Recommendations and applications of chemical fertilizers in fields of Iran. Tarbiat Modarres University Press.
21. Matsumoto K (1998) An Experimental Agricultural Data Mining System. Arikawa, S., and Motoda, H., (Eds.): DS'98, LNAI 1532, pp. 439-440
22. Mohammadi M (2003) Efficiency of important agronomy traits to indirect selection of superior barley genotypes in drought and warm environments. Proceeding of the 7th Iranian Congress Crop Sciences. Aug.24 - 26, 2002, SPII, Karaj, Iran. (In Persian).
23. Nasri R, Paknejad F, Sadeghinejad M, Ghorbani S, Fatemi Z (2012) Correlation and path analysis of drought stress on yield and yield components of barley (Hordeum vulgare) in Karaj region. J Plant Pro Bre. 8: 155-165.
24. Nikkhah, HR, Saberi MH, Mahlouji M (2010) Study of effective traits on grain yield of two and six row barley genotypes (Hordeum vulgare L.) under terminal drought stress conditions. Iranian J Crop Sci. 12: 170-184.
25. Pakniat H, Kazemipour A, Mohammadi GA (2003) Variation in salt tolerance of cultivated of barley ( Hordeum vulgare L.) and wild barley (H. spontanum C. KOCH) genotypes from Iran. Iran Agric Res. 22: 45-62.
26. Rahimnia F, Jafari AA, Nistani E (2008) Investigation of grain yield in 20 advanced genotypes of barely (Hordeum vulgare L.) using drought tolerance indices in Northern Khorasan Province. J Plant Pro Bre. 4: 75-83.
27. Sinclair TR, Messina CD, Beatty A, Samples M (2010) Assessment across the united states of the benefits of altered soybean drought traits. Agron J. 102:475-482.
28. Tadaiion MR, Emam Y (2002) Physiological and Morphological reaction of two barley cultivars to salt stress and its relationships to grain yield. Sci Method Agri. 11: 253-262.
29. Tambussi, EA, Nogues S, Ferrio JP, Voltas J, Araus JL (2005) Does a higher yield potential improve barley performance under Mediterranean stresses conditions? A case study. Field Crop Res. 91: 149-160.
30. Vaezi B, Ahmadikhah A (2010) Evaluation of drought tolerance of twelve improved barley genotypes in dry and warm condition. J Plant Pro.7: 23-43.
31. Veisi MA, Hagh Parast R, Aghaii M, Farshadfar E (2010) Evaluation of drought tolerance of barley (Hordeum vulgare L.) genotypes using physiological characteristics and drought tolerance indices. Plant Seed. 26: 43-60.