The extent of damage to stored milled rice due to insect infestation

Pedersen J.R., . and Sidik M., . (1984) The extent of damage to stored milled rice due to insect infestation. In: Seminar on Health and Ecology in Grains Post-Harvest Technology, 21-24 Aug 1984, Kuala Lumpur (Malaysia).

Medium grain Nato variety rice reasonably well-milled with 25% broken kernels was infested and stored in barrels simulating bags. Nine parameters of damage were assessed at 4 week (wk) intervals over a 24 wk period. Quantitative losses were measured by flotation volumetric and gravimetric methods. MW caused significant losses and damge to the rice. Increased numbers of insect were closely correlated with increased moisture contents (m.c.) temperature and number of damaged kernels. Highest m.c.'s and largest quantities of dust were found near the bottom level of the barrels. Increase in m.c. was followed by invasion of kernels by a succession of fungi. Quantitative measurement of dry-matter weight loss caused by MW infestation ranged from 0.92 to 37.29 percent with an inconsistency in the degree of loss shown by the three methods used. Single and multiple linear regression equations were established to predict weight losses

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Abstract

Medium grain Nato variety rice reasonably well-milled with 25% broken kernels was infested and stored in barrels simulating bags. Nine parameters of damage were assessed at 4 week (wk) intervals over a 24 wk period. Quantitative losses were measured by flotation volumetric and gravimetric methods. MW caused significant losses and damge to the rice. Increased numbers of insect were closely correlated with increased moisture contents (m.c.) temperature and number of damaged kernels. Highest m.c.'s and largest quantities of dust were found near the bottom level of the barrels. Increase in m.c. was followed by invasion of kernels by a succession of fungi. Quantitative measurement of dry-matter weight loss caused by MW infestation ranged from 0.92 to 37.29 percent with an inconsistency in the degree of loss shown by the three methods used. Single and multiple linear regression equations were established to predict weight losses

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Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Available at Perpustakaan Sultan Abdul Samad Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia. SB189.73 A816 1984 Call Number
AGROVOC Term:	Grain
AGROVOC Term:	Sitophilus
AGROVOC Term:	Infestation
AGROVOC Term:	Rice
Geographical Term:	MALAYSIA
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:51
URI:	http://webagris.upm.edu.my/id/eprint/7383

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