Detecting differences in starch digestibility using in vitro methods among corn hybrids harvested at silage maturities

IF 2.5 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Animal Feed Science and Technology Pub Date : 2024-06-06 DOI:10.1016/j.anifeedsci.2024.116036
N. Schlau , D.R. Mertens , D.M. Taysom
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Abstract

The objectives were to 1) determine whether genetic differences can be detected for carbohydrate fermentability among corn hybrids at silage maturities when the effects of drying and grinding are eliminated and 2) determine if in vitro starch digestibility (IVSD), a routine laboratory method used by commercial laboratories for hybrid evaluation, can detect differences when DM is controlled. Samples of whole corn plants from 3 hybrids (Brevant): B99B79SX (BMR, n = 7), B96T79SX, standard (STAN, n = 6), and B95U78SXE, floury-BMR (FL, n = 7), that had similar range of DM were selected. Sets of 8 ears were harvested concurrently and kernels removed from the ears by hand. Samples of undried kernels were quartered (QKERN) and in vitro gas production (IVGP) was measured for 120 h. More gas was produced by QKERN of FL than of STAN and BMR from 9 to 18 h (P < 0.05), and QKERN of FL produced more gas than BMR through 21 h (P < 0.05). The QKERN of FL had a shorter lag than STAN or BMR (P < 0.001) and a faster rate of gas production than BMR (P < 0.01), establishing that genetic differences are present at silage maturities. To determine whether the routine laboratory method can detect these differences, kernels (GKERN) and whole corn plants (GWP) were dried and ground to pass a 4-mm screen to measure IVSD after 3, 8, and 24 h. Particle size of GKERN was determined by dry sieving using a set of 13 sieves. For both GKERN and GWP, IVSD was lowest for BMR and highest for FL after 8 h. The IVSD8h of GKERN decreased as particle size increased at a similar rate for the 3 hybrids but the intercepts were different, with BMR being lowest and FL highest. Similarly, the IVSD8h of both GKERN and GWP decreased with increasing whole plant DM at a similar rate for the 3 hybrids and the magnitude of difference for IVSD8h was larger for the range in DM than the range in intercepts for the hybrids (0.123 vs 0.071 and 0.117 vs. 0.100, for GKERN and GWP, respectively). Plant maturity, or DM, has a larger effect on IVSD than hybrid type, and should therefore be controlled when evaluating genetic differences.

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利用体外方法检测青贮成熟期收获的玉米杂交种的淀粉消化率差异
研究目的是:1)确定在排除干燥和研磨影响的情况下,能否检测出玉米杂交种在青贮成熟期碳水化合物发酵性方面的遗传差异;2)确定体外淀粉消化率(IVSD)--一种商业实验室用于杂交种评估的常规实验室方法--能否在控制 DM 的情况下检测出差异。从 3 个杂交种(Brevant)的整株玉米植株中取样:选取了 DM 范围相似的 B99B79SX(BMR,n = 7)、B96T79SX 标准(STAN,n = 6)和 B95U78SXE(FL,n = 7)。每组 8 个果穗同时收获,用手将果核从果穗中取出。将未干燥的果仁样品切成四份(QKERN),测量 120 小时的体外产气量(IVGP)。从 9 到 18 h,FL 的 QKERN 比 STAN 和 BMR 产生更多的气体(P < 0.05),而从 21 h 开始,FL 的 QKERN 比 BMR 产生更多的气体(P < 0.05)。FL 的 QKERN 比 STAN 或 BMR 的滞后期短(P < 0.001),比 BMR 的产气速率快(P < 0.01),这证明青贮成熟期存在遗传差异。为了确定常规实验室方法是否能检测出这些差异,将玉米粒(GKERN)和玉米全株(GWP)烘干并研磨,使其通过 4 毫米筛网,以测量 3、8 和 24 小时后的 IVSD。GKERN 的粒度是通过使用一组 13 个筛子进行干筛确定的。对于 GKERN 和 GWP,8 小时后 BMR 的 IVSD 最低,FL 的 IVSD 最高。三种杂交种的 GKERN IVSD8h 随着粒度的增加以相似的速度下降,但截距不同,BMR 最低,FL 最高。同样,GKERN 和 GWP 的 IVSD8h 也随着 3 种杂交种整株 DM 的增加而降低,降低的速度相似,而且在 DM 的范围内,IVSD8h 的差异幅度大于杂交种截距的范围(GKERN 和 GWP 分别为 0.123 vs. 0.071 和 0.117 vs. 0.100)。植物成熟度或 DM 对 IVSD 的影响大于杂交种类型,因此在评估遗传差异时应加以控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Animal Feed Science and Technology
Animal Feed Science and Technology 农林科学-奶制品与动物科学
CiteScore
6.00
自引率
6.20%
发文量
266
审稿时长
3 months
期刊介绍: Animal Feed Science and Technology is a unique journal publishing scientific papers of international interest focusing on animal feeds and their feeding. Papers describing research on feed for ruminants and non-ruminants, including poultry, horses, companion animals and aquatic animals, are welcome. The journal covers the following areas: Nutritive value of feeds (e.g., assessment, improvement) Methods of conserving and processing feeds that affect their nutritional value Agronomic and climatic factors influencing the nutritive value of feeds Utilization of feeds and the improvement of such Metabolic, production, reproduction and health responses, as well as potential environmental impacts, of diet inputs and feed technologies (e.g., feeds, feed additives, feed components, mycotoxins) Mathematical models relating directly to animal-feed interactions Analytical and experimental methods for feed evaluation Environmental impacts of feed technologies in animal production.
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