home    about    browse    search    latest    help 
Login | Create Account

Dry matter yield, chemical composition and estimated extractable protein of legume and grass species during the spring growth

Solati, Z; Jørgensen, U; Eriksen, J and Søegaard, K (2017) Dry matter yield, chemical composition and estimated extractable protein of legume and grass species during the spring growth. Journal of the Science of Food and Agriculture, 97, pp. 3958-3966.

[thumbnail of Solati_et_al-2017-Journal_of_the_Science_of_Food_and_Agriculture (2).pdf]
Preview
PDF - English
495kB


Summary

BACKGROUND: Knowledge of the variation of extractable protein amount in legumes and grasses as affected by harvest time is important for identifying optimal combinations to enable a high protein production in a biorefinery. The extractability of protein was estimated using the Cornell Net Carbohydrate and Protein System across six harvests during the spring growth.
RESULTS: The estimated extractable protein [g kg−1 dry matter (DM)] defined as the easily available fractions B1+B2 was significantly higher in white clover and lucerne at all harvests while, if the more cell wall attached fraction B3 can be extracted, white clover had the highest extractable protein amongst all species. Total yield of B1+B2 per ha was higher in white clover and red clover at the early growth while B1+B2+B3 was by far the highest for red clover through all harvests.
CONCLUSION:White clover could be a good candidate for protein production purpose in a biorefinery due to its high extractable protein content per kg DM. In order to maximise the protein production capacity, harvest should take place during early growth due to a decline in protein extractability with maturity. The final economy of the concept will depend on the value of the fibre after extraction of the protein.


EPrint Type:Journal paper
Keywords:Cornell Net Carbohydrate and Protein System (CNCPS); protein fractions; grassland species; biorefinery; feed
Subjects: Crop husbandry > Crop combinations and interactions
Soil > Nutrient turnover
Research affiliation: Denmark > Organic RDD 2 > MultiPlant
DOI:10.1002/jsfa.8258
Deposited By: Eriksen, Professor Jørgen
ID Code:32972
Deposited On:14 May 2018 12:35
Last Modified:14 May 2018 12:35
Document Language:English
Status:Published
Refereed:Peer-reviewed and accepted

Repository Staff Only: item control page

Downloads

Downloads per month over past year

View more statistics