Near infrared reflectance spectroscopy as a potential surrogate method for the analysis of δ13C in mature kernels of durum wheat

Australian Journal of Agricultural Research

Volumn 52, Issue 8, 2001, Pages 809-816

  Ferrio, J P ^a   Bertran, E ^a   Nachit, M ^a   Royo, C ^a   Araus, J L ^a  

^a UNIVERSITY OF BARCELONA   (Spain)

Author keywords

Carbon isotope discrimination; Multivariate analysis; NIRS; PCR; PLSR; Regression

Indexed keywords

AGRICULTURAL MANAGEMENT; CARBON 13; CORRELATION ANALYSIS; FOOD QUALITY; ISOTOPE ANALYSIS; KERNEL; MODEL; NEAR INFRARED REFLECTANCE SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SOUTHERN EUROPE; WHEAT;

SPECTROSCOPY;

EID: 0034867442     PISSN: 00049409     EISSN: None     Source Type: Journal    
DOI: 10.1071/AR00116     Document Type: Article

References (39)

1. Potential of carbon isotope discrimination as a selection criterion in barley breeding
2. Wheat production in Mediterranean environments
3. Integrative physiological criteria associated with yield potential
4. Relationships between ash content, carbon isotope discrimination and yield in durum wheat
5. Effect of leaf structure and water status on carbon isotope discrimination in field-grown durum wheat
6. Relationship between leaf structure and carbon isotope discrimination in field grown barley
7. Changes in carbon isotope discrimination in grain cereals from different regions of the western Mediterranean Basin during the past seven millennia. Palaeoenvironmental evidence of a differential change in aridity during the late Holocene
8. Crop water availability in early agriculture: Evidence from carbon isotope discrimination of seeds from a tenth millennium BP site on the Euphrates
9. Augmenting yield-based selection
10. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra
11. An introduction to multivariate calibration and analysis
12. Effects of irradiance and water supply on grain development in wheat
13. Effect of nitrogen, temperature, growth stage and duration of moisture stress on yield components and protein content of Manitou spring wheat
14. 13C discrimination in forages
15. Genotypic variation in carbon isotope discrimination and transpiration efficiency in wheat. Leaf gas exchange and whole plant studies
16. Broad sense heritability and genotype x environment interaction for carbon isotope discrimination in wheat
17. Exploiting genetic variation in transpiration efficiency in wheat: An agronomic view
18. Carbon isotope discrimination is positively correlated with grain yield and dry matter production in field-grown wheat
19. Isotopic composition of plant carbon correlates with water-use-efficiency of wheat genotypes
20. Carbon isotope discrimination and photosynthesis
21. On the relationship between carbon isotope discrimination and the intercellular carbon dioxide concentration in leaves
22. Quality of hard, soft, and durum wheats
23. Forage production, grain yield and protein content in dual-purpose triticale grown for both grain and forage
24. Spectra-structure correlations for the near-infrared region
25. Carbon isotope discrimination and plant breeding
26. Breeding objectives, philosophies and methods in South Australia
27. Carbon isotope discrimination and the ratio of carbon gained to water lost in barley cultivars
28. NIR analysis of baked products
29. Cultivar and climatic effects on protein content of soft white winter wheat
30. Defining selection criteria to improve yield under drought
31. Changes in malting quality and its determinants in response to abiotic stresses
32. Application of NIRS to agricultural products
33. Promising traits for future breeding to increase wheat yield
34. Protein content of winter wheat grain as related to soil and climatic factors in the semiarid Central Great Plains
35. Grain quality and its physiological determinants
36. Genotype by environment interaction for grain yield and carbon isotope discrimination of barley in Mediterranean Spain
37. Cross validatory estimation of the number of components in factor and principal components models