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Quality analysis of silage maize of different varieties.

Authors :
HUO Lu-man
LI Yi
DU Rui-huan
SONG Wei
ZHOU Yu
YANG Shuo
WANG Chun-lei
CAO Hui-hui
Source :
Feed Research. 2023, Vol. 46 Issue 14, p90-93. 4p.
Publication Year :
2023

Abstract

In order to screen excellent silage maize varieties suitable for planting in Hebei Province, the basic nutrient composition, mineral element content, energy and related index of six varieties of silage maize in Hebei Province were detected by near-infrared spectroscopy technology, and the quality of six varieties of silage maize was comprehensively evaluated in combination with agronomic traits and biological yield. The results showed that there was no significant difference in agronomic traits among varieties (P>0.05). There was significant difference in biomass among varieties (P<0.05), and Jingke 932 was the highest. The ADF and NDF content of Jinzhu 100 and Dongke 301 were significantly lower than those of the other four varieties (P<0.05). There were significant differences in DM and CP content among varieties (P<0.05). The highest starch content of Jinzhu 100 was 32.3%, which was significantly different from other varieties (P<0.05). The difference of mineral element content among varieties was not significant (P>0.05). There was no significant difference in total digestible nutrients, NEL and NEG of silage maize among different varieties, with Jinzhu 100 and Dongke 301 being the highest, and the milk yield per ton of feed was significantly higher than that of other varieties (P<0.05). The experiment indicates that the near-infrared detection technology can meet the requirements of rapid and accurate determination of the nutritional components of silage maize. According to the analysis of comprehensive nutrient composition and emergy index, Jinzhu 100 and Dongke 301 are of good quality and can be popularized and planted as silage maize in Hebei Province. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10022813
Volume :
46
Issue :
14
Database :
Academic Search Index
Journal :
Feed Research
Publication Type :
Academic Journal
Accession number :
171336119
Full Text :
https://doi.org/10.13557/j.cnki.issn1002-2813.2023.14.018