Comparison of Brown Midrib-6 and -18 Forage Sorghum with Conventional Sorghum and Corn Silage in Diets of Lactating Dairy Cows

Oliver, A.L.; Grant, Richard; Pedersen, Jeffrey F.; O’Rear, J.

doi:10.3168/jds.s0022-0302(04)73206-3

Cited by 120 publications

(180 citation statements)

References 24 publications

(37 reference statements)

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“…Our results may suggest differences in regrowth pattern of both genotypes. These results are consistent with other studies, which reported lower DM yield for bmr genotypes of sudangrass and sorghum compared with normal genotypes (Casler et al 2003;Oliver et al 2004). Casler et al (2003) suggested that the bmr trait may limit the development and growth of first harvest bmr forages in cold, short-season regions, and that lower yields in the second harvest are likely due to reduced tillering and plant height.…”

supporting

confidence: 90%

Chemical composition and in situ ruminal nutrient degradability of normal and brown midrib forage pearl millet grown in southwestern Québec

Mustafa¹,

Hassanat²,

Séguin³

2004

Can. J. Anim. Sci.

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P. 2004. Chemical composition and in situ ruminal nutrient degradability of normal and brown midrib forage pearl millet grown in southwestern Québec. Can. J. Anim. Sci. 84: 737-740. The objective of this study was to determine the chemical composition and in situ ruminal degradability of normal and brown midrib (bmr) forage pearl millet [Pennisetum glaucum (L.) R. Br.] grown in southwestern Québec conditions. Forage was harvested twice during the season. Relative to normal genotype, bmr millet contained less (P < 0.05) neutral detergent fiber (NDF) and acid detergent lignin and more (P < 0.05) crude protein (CP). Fiber fractions were similar for the two harvests. However, CP content was higher (P < 0.05) in the first than the second harvest. In situ ruminal degradabilities of DM, CP and NDF were all higher (P < 0.05) for bmr than normal forage millet and were not affected by harvest. Br.] à côte normale ou brune (bmr) cultivé dans le sud-ouest du Québec. Le fourrage a été récolté à deux reprises durant la période végétative. Comparativement au génotype normal, le millet bmr renferme moins (P < 0,05) de fibres au détergent neutre (FDN) et de lignine au détergent acide, mais plus (P < 0,05) de protéines brutes (PB). La proportion de fibres était la même pour les deux coupes. Néanmoins, la première a donné plus (P < 0,05) de PB que la seconde. Le millet bmr se caractérise par une meilleure (P < 0,05) dégradation de la MS, des PB et des FDN dans le rumen que le fourrage au génotype normal. Ce paramètre n'est pas affecté par la coupe.

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confidence: 90%

Chemical composition and in situ ruminal nutrient degradability of normal and brown midrib forage pearl millet grown in southwestern Québec

Mustafa¹,

Hassanat²,

Séguin³

2004

Can. J. Anim. Sci.

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“…As reported by Oliver et al (2004) and Vogler et al (2009) that the percentage of sorghum BMR has a lower lignin content than non-BMR.…”

Section: Concentrations Of Sorghummentioning

confidence: 53%

Productivity and Nutrient Quality of Some Sorghum Mutant Lines at Different Cutting Ages

Puteri

Karti

Abdullah

et al. 2015

Med Pet

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The objective of the study was to explore the appropriate cutting age to produce optimal biomass and good nutrient quality from sorghum mutant lines BMR i.e., PATIR 3.5 M7, PATIR 3.6 M7, and PATIR 3.7 M7, also SAMURAI I (M17). A completely randomized in Split Plot design with 2 factors and 3 replicates was used. The first factor was the type of sorghum (SAMURAI I M17, PATIR 3.5, PATIR 3.6, PATIR 3.7) as the main plot and the second factor was the cutting age (85, 95, 105) as a subplot. Parameters observed were the production of stems, leaves, grains, total biomass production, ash, crude fat, crude fiber, crude protein, NFE, TDN, percentage of DMD, OMD and N-NH 3 . Data were analyzed by using ANOVA followed by DMRT (Duncan Multiple Range Test). The results showed that there were highly significant interactions (P<0.01) between cutting age and type of sorghum in production of stems, leaves, grains, total biomass production, value of TDN, DMD, OMD, and N-NH 3 . Increasing cutting age significantly increased the percentage of ash content, crude protein and crude fat. The sorghum type significantly affected crude fat content nonBMR sorghum variety of SAMURAI I (M17) and achieved optimal biomass production and nutrient content at cutting age of 85 d similar to BMR sorghum mutant lines PATIR 3.6 and PATIR 3.5, whereas BMR sorghum mutant lines of PATIR 3.7 achieved optimum production at the age of 95 d of cutting. All types of sorghum varieties was not recommended to be harvested at 105 d. Biomass production increased with the increasing of cutting age, but the nutrient content decreased. Key words: cutting age, mutant, sorghum ABSTRAKPenelitian ini bertujuan untuk mencari umur pemanenan yang tepat untuk menghasilkan biomassa dan kandungan nutrien yang optimal dari galur sorghum hasil mutasi yang disebut BMR, yaitu PATIR 3.5 M7, PATIR 3.6 M7, dan PATIR 3.7 M7 serta sorghum dari varietas SAMURAI I (M17). Penelitian ini menggunakan rancangan acak lengkap pola petak terbagi dengan 2 faktor dan 3 ulangan. Faktor pertama adalah jenis sorghum (SAMURAI I M17, PATIR 3.5, PATIR 3.6, PATIR 3.7) sebagai petak utama dan faktor kedua adalah umur pemanenan (85, 95, 105) sebagai anak petak. Peubah yang diamati ialah produksi batang, daun, bulir, produksi biomassa total, kadar abu, lemak kasar, BETN, serat kasar, protein kasar, TDN, KCBK, KCBO, serta N-amonia. Data dianalisis dengan ANOVA diikuti dengan uji lanjut DMRT (Duncan Multiple Range Test). Hasil penelitian menunjukkan terdapat interaksi yang sangat nyata (P<0,01) antara umur panen dan jenis sorghum pada produksi batang, daun, bulir, produksi biomassa total, nilai TDN, KCBK, KCBO, dan konsentrasi N-amonia. Umur panen berpengaruh nyata pada persentase kandungan abu, protein kasar dan lemak kasar, ketiganya menurun seiring dengan bertambahnya umur panen. Jenis sorghum berpengaruh nyata pada kandungan lemak kasar. Sorghum nonBMR varietas SAMURAI I (M17), sorghum BMR PATIR 3.6 dan PATIR 3.5 mencapai produksi biomassa optimal dan kandungan nutrisi optimal pada umur panen 85 ...

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“…Forage sorghum can be a good source of quality feed and has shown competitive yields in the past (Oliver et al, 2004). However, lodging was an issue with older varieties.…”

mentioning

confidence: 99%

Proximal Sensing to Estimate Yield of Brown Midrib Forage Sorghum

et al. 2017

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Increasing home-grown forage production is important for the dairy industry. Double cropping of forage crops like corn (Zea mays L.) silage with cereal rye (Secale cereale L.) or triticale (× Triticosecale spp.) can increase full-season yield but could impact the length of the growing season for corn silage. Brown midrib (BMR) brachytic dwarf forage sorghum (Sorghum bicolor L.) has great potential as an alternative to corn silage in double crop rotations. Both winter cereals and forage sorghum require N management. Crop sensing is a promising approach for predicting end-of-season yields, the fi rst step in development of algorithms for sensor-based N management. Here we evaluated the impact of timing, sensor orientation and height of scanning, and the use of normalized diff erence vegetation index (NDVI) data vs. in-season estimated yield (INSEY) on the ability of sensor data to predict yield of forage sorghum. Four trials with N rates ranging from 0 to 224 or 280 kg of N ha -1 at planting (sitespecifi c) were implemented in four replications in 2014-2015. Scanning took place from 19 to 69 d aft er planting (DAP). Yield was measured at soft dough (111-124 DAP). Sensor height and orientation impacted the NDVI prior to 45 DAP but not once the canopy was fully developed. Most accurate yield predictions were obtained 49 DAP when the sorghum was 0.76 m tall. Th e INSEY expressed as plant growth per day (INSEY DAP ) best correlated with yield. We conclude that crop sensors can be used to accurately predict forage sorghum yields.Department of Animal Science, Cornell University, Ithaca, NY 14853. *Corresponding author (qmk2@cornell.edu).Abbreviations: BMR, brown midrib; DAP, days aft er planting; DM, dry matter; GDD, growing degree days; NDVI, normalized diff erence vegetation index; INSEY, in-season-estimated yield; MERN, most economic rate of nitrogen. Core Ideas• Forage sorghum has potential as alternative to corn silage in rotation with winter cereals.• Crop sensing is a promising approach for predicting end-ofseason yields. Yield prediction is the fi rst step in development of algorithms for sensor-based N management.• To develop reliable algorithms for fertility management of forage sorghum in double crop rotations that account for timing, height of scanning and sensor orientation.• To evaluate which method of reporting of sensor measurements (NDVI, INSEY GDD , or INSEY DAP ) gives the better prediction of yield.

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Comparison of Brown Midrib-6 and -18 Forage Sorghum with Conventional Sorghum and Corn Silage in Diets of Lactating Dairy Cows

Cited by 120 publications

References 24 publications

Chemical composition and in situ ruminal nutrient degradability of normal and brown midrib forage pearl millet grown in southwestern Québec

Chemical composition and in situ ruminal nutrient degradability of normal and brown midrib forage pearl millet grown in southwestern Québec

Productivity and Nutrient Quality of Some Sorghum Mutant Lines at Different Cutting Ages

Proximal Sensing to Estimate Yield of Brown Midrib Forage Sorghum

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