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Del Rio Et Al Flowering-Glucos-NIRS (EUCARPIA 2004)
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Predicting the flowering cycle of Indian mustard plants through the glucosinolate analysis of the seed by near- infrared spectroscopy Mercedes del Río-Celestino*, Rafael Font and Antonio de Haro-Bailón Department of Agronomy and Plant Breeding. Institute of Sustainable Agriculture (CSIC). Alameda del Obispo s/n. 14080 Córdoba. Spain. *e-mail: [email protected] Tl.: +34 957 499211; fax: +34 957 499252 Abstract Indian mustard (Brassica juncea Czern. & Coss.) is a plant species characterised by the presence of a high concentration of erucic acid and a large variability in the glucosinolate pattern of the seed. Whereas B. juncea genotypes of European or North American origin contain from 150 to 200 μmol g -1 of sinigrin (2-propenyl glucosinolate) (oil extracted, air-dried meal), genotypes from the Indian subcontinent contain variable amounts of sinigrin and gluconapin (but-3-enyl glucosinolate). In addition, other minor glucosinolates are also present in the seed, such as 4-hydroxyglucobrassicin. The glucosinolate pattern exhibited by B. juncea seed makes it one of the most promising species as a potential source of variability for glucosinolates. The Department of Agronomy and Plant Breeding (Institute of Sustainable Agriculture, CSIC, Córdoba, Spain) holds a germplasm collection of B. juncea from Europe and the Indian subcontinent, showing a large variability in its oil and meal composition, including glucosinolates. This germplasm collection has been the basis for developing near-infrared spectroscopy (NIRS) research in recent years (Font et al., 2003). We have found through experience in field trials performed at IAS, Córdoba, that the particular pattern of glucosinolates found in the seed of this species, relates with the flowering cycle of the plant. According to this, genotypes containing mainly sinigrin show a larger flowering cycle than those having gluconapin as the main glucosinolate. This correlation allows us to infer the flowering date from the glucosinolate pattern of the seed.
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Transcript of Del Rio Et Al Flowering-Glucos-NIRS (EUCARPIA 2004)
Predicting the flowering cycle of Indian mustard plants through the glucosinolate analysis of the seed by near-infrared spectroscopyMercedes del Río-Celestino*, Rafael Font and Antonio de Haro-BailónDepartment of Agronomy and Plant Breeding. Institute of Sustainable Agriculture (CSIC). Alameda del Obispo s/n. 14080 Córdoba. Spain.*e-mail: [email protected].: +34 957 499211; fax: +34 957 499252
AbstractIndian mustard (Brassica juncea Czern. & Coss.) is a plant species characterised
by the presence of a high concentration of erucic acid and a large variability in the glucosinolate pattern of the seed. Whereas B. juncea genotypes of European or North American origin contain from 150 to 200 μmol g-1 of sinigrin (2-propenyl glucosinolate) (oil extracted, air-dried meal), genotypes from the Indian subcontinent contain variable amounts of sinigrin and gluconapin (but-3-enyl glucosinolate). In addition, other minor glucosinolates are also present in the seed, such as 4-hydroxyglucobrassicin. The glucosinolate pattern exhibited by B. juncea seed makes it one of the most promising species as a potential source of variability for glucosinolates.
The Department of Agronomy and Plant Breeding (Institute of Sustainable Agriculture, CSIC, Córdoba, Spain) holds a germplasm collection of B. juncea from Europe and the Indian subcontinent, showing a large variability in its oil and meal composition, including glucosinolates. This germplasm collection has been the basis for developing near-infrared spectroscopy (NIRS) research in recent years (Font et al., 2003).
We have found through experience in field trials performed at IAS, Córdoba, that the particular pattern of glucosinolates found in the seed of this species, relates with the flowering cycle of the plant. According to this, genotypes containing mainly sinigrin show a larger flowering cycle than those having gluconapin as the main glucosinolate. This correlation allows us to infer the flowering date from the glucosinolate pattern of the seed.
In order to support this fact, glucosinolate determinations have to be done through their normal occurrence ranges, which implies the analysis of hundreds of seed samples to cover the whole distribution of these compounds in the plant. Thus, the successful of the experiment implies the use of fast analytical techniques that allow accurate results. In a previous work (Font et al., 2004), we reported the use of near-infrared spectroscopy (NIRS) as a suitable technique for predicting individual and total glucosinolates in B. juncea seed.
The purpose of this work was to study the relationship existing between flowering cycle and glucosinolate composition in the seed of B. juncea in field assays. To do this, NIRS was used as a rapid, cheap and sufficient accurate technique for the analysis of glucosinolates and for predicting the flowering cycle in B. juncea.
References Font, R., M. Del Río, J. M. Fernández & A. De Haro, 2003. Acid detergent fiber análisis in oilseed Brassicas by near-infrared spectroscopy. J. Agri. Food Chem. 51: 2917-2922.Font, R., M. Del Río, J. M. Fernández-Martínez & A. De Haro, 2004. Use of near-infrared spectroscopy for screening the individual and total glucosinolate content in Indian mustard seed (Brassica juncea L. Czern. & Coss.). J. Agri. Food Chem. 52: 3563-3569.
