252 research outputs found

    Forage Potential of Proso Millet (Panicum miliaceum L.) and Effects of Additives on Silage Fermentation

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ตญ์ œ๋†์—…๊ธฐ์ˆ ๋Œ€ํ•™์› ๊ตญ์ œ๋†์—…๊ธฐ์ˆ ํ•™๊ณผ, 2020. 8. ๊น€์ข…๊ทผ.Silage corn, sorghum-sudangrass hybrid and proso millet are versatile summer forage crops that can be fed as soilage or conversed as silage. However, in South Korea, proso millet is rarely used as silage to feed ruminants. This experiment was carried out at Pyeongchang, Korea, in order to compare the productivity, the fermentation dynamic and the effects of different additives on silage fermentation of the three forage crops. The studies were conducted from May to December, 2019. Proso millet (Golden) was sown on June 8th and harvested on September 5th. Silage corn (Gwangpyeongok) and sorghum-sudangrass hybrid (Turbo-gold) were planted on May 10th and harvested on September 10th. Yield was significantly affected by crop species. The fresh yield of sorghum-sudangrass hybrid (121,733 kg/ha) was significantly higher than those of proso millet (25,350 kg/ha) and corn (67,557 kg/ha) (p<0.05). The highest yield of total digestible nutrients (TDN) was corn (14,378 kg/ha), while the lowest was proso millet (4711 kg/ha). The fermentation dynamics of proso millet, corn and sorghum-sudangrass hybrid silages were evaluated at 1, 2, 3, 5, 10, 15, 20, 30, and 45 days after ensiling. The results showed that during the ensiling period, the dry matter (DM), crude protein (CP) and water soluble carbohydrate (WSC) content of all crops decreased significantly (p<0.05). As the fermentation proceeds, the content of in vitro dry matter digestibility (IVDMD) decreased slightly, and corn was always higher than proso millet and sorghum-sudangrass hybrid. The pH of all crops dropped rapidly in the early stage of fermentation and stabilized in the later stage. The lactic acid bacteria (LAB) counts of the three crops silage reached the maximum on the 10th day were proso millet 6.90 log10 cfu/g FW, corn 7.77 log10 cfu/g FW and sorghum-sudangrass hybrid 6.95 log10 cfu/g FW. As the ensiling progressed, the lactic acid (LA) and acetic acid (AA) content of the three crop silages increased significantly (p<0.05). For the effect of additives on crop fermentation, treatments included control (without additive), with Lactobacillus plantarum (LP, 1.0ร—106 CFU/g fresh matter), and formic acid (FA, 98%, 5ml/kg). All silages were prepared and stored for 60 days. The results showed that additives had significant effects on improving the fermentation quality of crops, and different additives had different effects on different crops. All additives significantly increased the CP content and IVDMD of silages, and reduced the content of ammonia nitrogen (NH3-N). Compared with the control, whether FA or LP was added, the WSC of the three crops were largely preserved. The WSC in the proso millet treated with FA was the highest. The use of LP significantly increased the LA content of silage, while the use of FA significantly increased the content of AA (p<0.05). The highest count of LAB was detected in the treatment of LP in corn. Based on the results of this study, proso millet is also a good choice for silage. In addition, when preparing silage, formic acid and lactic acid bacteria inoculant improved the quality and fermentation pattern of silage.์‚ฌ์ผ๋ฆฌ์ง€์šฉ ์˜ฅ์ˆ˜์ˆ˜, ์ˆ˜์ˆ˜-์ˆ˜๋‹จ๊ทธ๋ผ์Šค ๊ต์žก์ข… ๊ทธ๋ฆฌ๊ณ  ๊ธฐ์žฅ์€ ์ฒญ์˜ˆ ๋˜๋Š” ์‚ฌ์ผ๋ฆฌ์ง€ ํ˜•ํƒœ๋กœ ๊ฐ€์ถ•์— ๊ธ‰์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค๋ชฉ์  ์—ฌ๋ฆ„์ฒ  ์‚ฌ๋ฃŒ์ž‘๋ฌผ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ•œ๊ตญ์—์„œ๋Š” ๊ธฐ์žฅ์˜ ๊ฒฝ์šฐ ๊ฐ€์ถ•์˜ ์‚ฌ๋ฃŒ๋กœ ๊ฑฐ์˜ ์ด์šฉ๋˜์ง€ ์•Š๋Š”๋‹ค. ๋ณธ ์‹œํ—˜์€ ์‚ฌ์ผ๋ฆฌ์ง€์šฉ ์˜ฅ์ˆ˜์ˆ˜, ์ˆ˜์ˆ˜-์ˆ˜๋‹จ๊ทธ๋ผ์Šค ๊ต์žก์ข… ๊ทธ๋ฆฌ๊ณ  ๊ธฐ์žฅ์— ๋Œ€ํ•˜์—ฌ ์ƒ์‚ฐ์„ฑ์˜ ๊ฒ€ํ† ์™€ ๋ฐœํšจ ์–‘์ƒ ๊ทธ๋ฆฌ๊ณ  ์„œ๋กœ ๋‹ค๋ฅธ ์ฒจ๊ฐ€์ œ์˜ ์ฒ˜๋ฆฌ๊ฐ€ ์‚ฌ์ผ๋ฆฌ์ง€ ๋ฐœํšจ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•ด ๊ฐ•์›๋„ ํ‰์ฐฝ์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 2019๋…„ 5์›”๋ถ€ํ„ฐ 12์›”๊นŒ์ง€ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ๊ธฐ์žฅ(Golden)์€ 6์›” 8์ผ์— ํŒŒ์ข…ํ•˜์˜€๊ณ , 9์›” 5์ผ์— ์ˆ˜ํ™•ํ•˜์˜€๋‹ค. ์‚ฌ์ผ๋ฆฌ์ง€์šฉ ์˜ฅ์ˆ˜์ˆ˜(๊ด‘ํ‰์˜ฅ)๊ณผ ์ˆ˜์ˆ˜-์ˆ˜๋‹จ๊ทธ๋ผ์Šค ๊ต์žก์ข…(Turbo-gold)์€ 5์›” 10์ผ์— ํŒŒ์ข…ํ•˜์˜€์œผ๋ฉฐ, 9์›” 10์ผ์— ์ˆ˜ํ™•ํ•˜์˜€๋‹ค. ์ˆ˜๋Ÿ‰์€ ์ž‘๋ฌผ์˜ ์ข…๋ฅ˜์— ๋”ฐ๋ผ ์œ ์˜์ ์ธ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋‚ด์—ˆ๋‹ค. ์ƒ์ดˆ์ˆ˜๋Ÿ‰์€ ์ˆ˜์ˆ˜-์ˆ˜๋‹จ๊ทธ๋ผ์Šค ๊ต์žก์ข…์ด(121,733 kg/ha) ๊ธฐ์žฅ(25,350 kg/ha)๊ณผ ์˜ฅ์ˆ˜์ˆ˜(67,557 kg/ha)๋ณด๋‹ค ์œ ์˜์ ์œผ๋กœ ๋งŽ์•˜๋‹ค(p<0.05). TDN ์ˆ˜๋Ÿ‰์€ ์˜ฅ์ˆ˜์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋งŽ์•˜๊ณ (14,378 kg/ha) ๊ธฐ์žฅ์ด ๊ฐ€์žฅ ์ ์—ˆ๋‹ค(4,711 kg/ha). ๊ธฐ์žฅ, ์‚ฌ์ผ๋ฆฌ์ง€์šฉ ์˜ฅ์ˆ˜์ˆ˜ ๋ฐ ์ˆ˜์ˆ˜-์ˆ˜๋‹จ๊ทธ๋ผ์Šค ๊ต์žก์ข… ์‚ฌ์ผ๋ฆฌ์ง€์˜ ๋ฐœํšจ์–‘์ƒ์„ ๊ตฌ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ์‚ฌ์ผ๋ฆฌ์ง€ ์ €์žฅ 1, 2, 3, 5, 10, 15, 20, 30 ๋ฐ 45์ผํ›„์— ์กฐ์‚ฌ๋ฅผ ํ•˜์˜€๋‹ค. ์ €์žฅ๊ธฐ๊ฐ„๋™์•ˆ ๊ฑด๋ฌผ(DM), ์กฐ๋‹จ๋ฐฑ์งˆ(CP) ๋ฐ ์ˆ˜์šฉ์„ฑ ํƒ„์ˆ˜ํ™”๋ฌผ(WSC) ํ•จ๋Ÿ‰์€ ๋ชจ๋“  ์ž‘๋ฌผ์—์„œ ์œ ์˜์ ์œผ๋กœ ๊ฐ์†Œํ•˜์˜€๋‹ค(p<0.05). ๋ฐœํšจ๊ฐ€ ์ง„ํ–‰๋จ์— ๋”ฐ๋ผ in vitro ๊ฑด๋ฌผ ์†Œํ™”์œจ(IVDMD)์€ ์•ฝ๊ฐ„ ๊ฐ์†Œํ•˜์˜€๊ณ  ์˜ฅ์ˆ˜์ˆ˜๋Š” ๊ธฐ์žฅ ๋ฐ ์ˆ˜์ˆ˜-์ˆ˜๋‹จ๊ทธ๋ผ์Šค ๊ต์žก์ข… ๋ณด๋‹ค ํ•ญ์ƒ ๋†’์•˜๋‹ค. ๊ณต์‹œ๋œ ์ž‘๋ฌผ๋“ค์˜ pH๋Š” ๋ฐœํšจ ์ดˆ๊ธฐ์— ๊ธ‰๊ฒฉํžˆ ๊ฐ์†Œํ•˜์˜€๊ณ  ํ›„๊ธฐ๋กœ ๊ฐˆ์ˆ˜๋ก ์•ˆ์ •๋˜์—ˆ๋‹ค. ์ –์‚ฐ๊ท ์ˆ˜๋Š” ๋ฐœํšจ 10์ผ์งธ์— ๋ชจ๋‘ ์ตœ๊ณ ์— ๋„๋‹ฌํ•˜์˜€๋Š”๋ฐ ๊ธฐ์žฅ์€ 6.90 log 10 cfu/g FW ์ด์—ˆ๊ณ  ์˜ฅ์ˆ˜์ˆ˜๋Š” 7.77 ๊ทธ๋ฆฌ๊ณ  ์ˆ˜์ˆ˜-์ˆ˜๋‹จ๊ทธ๋ผ์Šค ๊ต์žก์ข…์€ 6.95 10 cfu/g FW ์ด์—ˆ๋‹ค. ์‚ฌ์ผ๋ฆฌ์ง€ ๋ฐœํšจ๊ฐ€ ์ง„ํ–‰๋จ์— ๋”ฐ๋ผ ๋ชจ๋“  ์ž‘๋ฌผ์˜ ์‚ฌ์ผ๋ฆฌ์ง€์—์„œ ์ –์‚ฐ ๋ฐ ์ดˆ์‚ฐ ํ•จ๋Ÿ‰์ด ์œ ์˜์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค(p<0.05). ์‚ฌ์ผ๋ฆฌ์ง€ ๋ฐœํšจ์— ๋Œ€ํ•œ ์ฒจ๊ฐ€์ œ ํšจ๊ณผ๋ฅผ ๊ทœ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ๋ฌด์ฒ˜๋ฆฌ(Control), ์ –์‚ฐ๊ท (LP, Lactobacillus plantarum, 1.0ร—106 CFU/g fresh matter) ๊ทธ๋ฆฌ๊ณ  ๊ฐœ๋ฏธ์‚ฐ(FA, formic acid, 98%, 5ml/kg) ์ฒ˜๋ฆฌํ•˜์˜€๋‹ค, ๋ชจ๋“  ์‚ฌ์ผ๋ฆฌ์ง€๋Š” ์กฐ์ œ ํ›„ 60์ผ๋™์•ˆ ๋ณด๊ด€ํ•˜์˜€๋‹ค. ์ฒจ๊ฐ€์ œ ์ฒ˜๋ฆฌ๋Š” ์ž‘๋ฌผ๋“ค์˜ ๋ฐœํšจ ํ’ˆ์งˆ์„ ๊ฐœ์„ ์‹œํ‚ค๋Š” ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ๋‹ค. ์„œ๋กœ ๋‹ค๋ฅธ ์ฒจ๊ฐ€์ œ๋Š” ๊ฐ๊ฐ์˜ ์ž‘๋ฌผ๋ณ„๋กœ ๋‹ค๋ฅธ ํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ด์—ˆ๋‹ค. ๋ชจ๋“  ์ฒจ๊ฐ€์ œ๋Š” ์‚ฌ์ผ๋ฆฌ์ง€์˜ ์กฐ๋‹จ๋ฐฑ์งˆ๊ณผ in vitro ๊ฑด๋ฌผ ์†Œํ™”์œจ์„ ์ฆ๊ฐ€์‹œ์ผฐ๊ณ  ์•”๋ชจ๋‹ˆ์•„ํƒœ ์งˆ์†Œ (NH3-N) ํ•จ๋Ÿ‰์„ ๊ฐ์†Œ์‹œ์ผฐ๋‹ค. ๋Œ€์กฐ๊ตฌ์™€ ๋น„๊ตํ•  ๋•Œ ๊ฐœ๋ฏธ์‚ฐ ๋ฐ ์ –์‚ฐ๊ท  ์ฒ˜๋ฆฌ๊ตฌ๋Š” ๋ชจ๋“  ์ž‘๋ฌผ์—์„œ ์ˆ˜์šฉ์„ฑ ํƒ„์†Œํ™”๋ฌผ์ด ๋Œ€๋ถ€๋ถ„ ๋ณด์กด๋˜์—ˆ๋‹ค. ํŠนํžˆ ๊ฐœ๋ฏธ์‚ฐ์„ ์ฒ˜๋ฆฌํ•œ ๊ธฐ์žฅ ์‚ฌ์ผ๋ฆฌ์ง€์—์„œ ์ˆ˜์šฉ์„ฑ ํƒ„์ˆ˜ํ™”๋ฌผ์ด ๊ฐ€์žฅ ๋†’์•˜๋‹ค. ์ –์‚ฐ๊ท ์ฒจ๊ฐ€์ œ ์ฒ˜๋ฆฌ๋Š” ์‚ฌ์ผ๋ฆฌ์ง€์˜ ์ –์‚ฐํ•จ๋Ÿ‰์„ ์œ ์˜์ ์œผ๋กœ ์ฆ๊ฐ€์‹œ์ผฐ์œผ๋ฉฐ, ๋ฐ˜๋ฉด ๊ฐœ๋ฏธ์‚ฐ ์ฒ˜๋ฆฌ๋Š” ์ดˆ์‚ฐํ•จ๋Ÿ‰์„ ์œ ์˜์ ์œผ๋กœ ์ฆ๊ฐ€์‹œ์ผฐ๋‹ค(p<0.05). ์ –์‚ฐ๊ท ์„ ์ฒ˜๋ฆฌํ•œ ์˜ฅ์ˆ˜์ˆ˜ ์‚ฌ์ผ๋ฆฌ์ง€๊ฐ€ ์ –์‚ฐ๊ท ์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋งŽ์•˜๋‹ค. ๋ณธ ์‹œํ—˜ ๊ฒฐ๊ณผ์— ์˜ํ•˜๋ฉด ๊ธฐ์žฅ์€ ์‚ฌ์ผ๋ฆฌ์ง€๋กœ์˜ ์ด์šฉ ๊ฐ€๋Šฅ์„ฑ์ด ๋งค์šฐ ๋†’์•˜๋‹ค. ๋˜ํ•œ ์‚ฌ์ผ๋ฆฌ์ง€ ์กฐ์ œ์‹œ ๊ฐœ๋ฏธ์‚ฐ ๋ฐ ์ –์‚ฐ๊ท  ์ฒจ๊ฐ€์ œ๋Š” ์‚ฌ์ผ๋ฆฌ์ง€์˜ ํ’ˆ์งˆ ๋ฐ ๋ฐœํšจ์–‘์ƒ์„ ๊ฐœ์„ ์‹œ์ผœ ์ฃผ์—ˆ๋‹ค.1. Introduction 1 1.1 Research background 1 1.2 Aim of research 4 2. Literature review 5 2.1 Forage crop 5 2.1.1 Silage corn 5 2.1.2 Sorghum - sudangrass hybrids 6 2.1.3 Proso Millet 7 2.2 Preservation method 8 2.3 Silage fermentation 11 2.3.1 Ensiling process 11 2.3.2 Chemical changes of nutrients 13 2.4 Silage microbiology 14 2.4.1 Lactic acid bacteria 15 2.4.2 Enterobacteria 16 2.4.3 Yeasts and Molds 16 2.4.4 Clostridia 17 2.4.5 Aerobic bacteria 18 2.5 Silage additive 18 2.5.1 Fermentation stimulants 18 2.5.2 Fermentation inhibitors 20 2.5.3 Aerobic deterioration inhibitors 21 2.5.4 Nutrients 22 2.5.5 Absorbents 22 2.6 Evaluation of silage quality 23 3. Materials and Methods 25 3.1 General information 25 3.2 Materials preparation 27 3.2.1 Raw materials preparation 27 3.2.2 Silage making 29 3.2.3 Sensory evaluation of silage 30 3.3 Chemical analysis 32 3.3.1 Crude protein analysis 32 3.3.2 Fiber analysis 32 3.3.3 Calculation of TDN 33 3.3.4 Calculation of RFV 33 3.3.5 Water soluble carbohydrate (WSC) 34 3.4 Fermentation characteristics 35 3.4.1 Acidity(pH) 36 3.4.2 Organic acid 37 3.4.3 Buffering Capacity 38 3.4.4 Ammonia nitrogen (NH3-N) / Total nitrogen (TN) 39 3.5 Microbial analysis 39 3.6 In vitro digestibility analysis 40 3.7 Statistical analysis 42 4. Results and Discussions 43 4.1 Productivity of forage crop 43 4.2 Analysis of forage quality of raw material 44 4.2.1 Chemical compositions and feed values 44 4.2.2 Pre-ensiled characteristics 48 4.2.3 Microorganisms 50 4.3 Analysis of fermentation dynamics of silage 51 4.3.1 Chemical composition during ensiling 52 4.3.2 Fermentation quality during ensiling 55 4.3.3 Organic acids of silage during ensiling 59 4.3.4 Microbial compositions of silage during ensiling 63 4.4 Analysis of effects of additives on silage 66 4.4.1 Sensory evaluation of silage 66 4.4.2 Chemical composition of silage with different additives 67 4.4.3 Fermentation quality of silage with different additives 73 4.4.4 Organic acids of silage with different additives 77 4.4.5 Microbial counts of silage with different additives 82 5. Conclusion 85 6. Bibliography 88 7. Abstract in Korean 107Maste

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    Structural and functional abnormities of amygdala and prefrontal cortex in major depressive disorder with suicide attempts

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    Finding neural features of suicide attempts (SA) in major depressive disorder (MDD) may be helpful in preventing suicidal behavior. The ventral and medial prefrontal cortex (PFC), as well as the amygdala form a circuit implicated in emotion regulation and the pathogenesis of MDD. The aim of this study was to identify whether patients with MDD who had a history of SA show structural and functional connectivity abnormalities in the amygdala and PFC relative to MDD patients without a history of SA. We measured gray matter volume in the amygdala and PFC and amygdala-PFC functional connectivity using structural and functional magnetic resonance imaging (MRI) in 158 participants [38 MDD patients with a history of SA, 60 MDD patients without a history of SA, and 60 healthy control (HC)]. MDD patients with a history of SA had decreased gray matter volume in the right and left amygdala (F = 30.270, P = 0.000), ventral/medial/dorsal PFC (F = 15.349, P = 0.000), and diminished functional connectivity between the bilateral amygdala and ventral and medial PFC regions (F = 22.467, P = 0.000), compared with individuals who had MDD without a history of SA, and the HC group. These findings provide evidence that the amygdala and PFC may be closely related to the pathogenesis of suicidal behavior in MDD and implicate the amygdala-ventral/medial PFC circuit as a potential target for suicide intervention

    Structural and functional abnormities of amygdala and prefrontal cortex in major depressive disorder with suicide attempts

    Get PDF
    Finding neural features of suicide attempts (SA) in major depressive disorder (MDD) may be helpful in preventing suicidal behavior. The ventral and medial prefrontal cortex (PFC), as well as the amygdala form a circuit implicated in emotion regulation and the pathogenesis of MDD. The aim of this study was to identify whether patients with MDD who had a history of SA show structural and functional connectivity abnormalities in the amygdala and PFC relative to MDD patients without a history of SA. We measured gray matter volume in the amygdala and PFC and amygdala-PFC functional connectivity using structural and functional magnetic resonance imaging (MRI) in 158 participants [38 MDD patients with a history of SA, 60 MDD patients without a history of SA, and 60 healthy control (HC)]. MDD patients with a history of SA had decreased gray matter volume in the right and left amygdala (F = 30.270, P = 0.000), ventral/medial/dorsal PFC (F = 15.349, P = 0.000), and diminished functional connectivity between the bilateral amygdala and ventral and medial PFC regions (F = 22.467, P = 0.000), compared with individuals who had MDD without a history of SA, and the HC group. These findings provide evidence that the amygdala and PFC may be closely related to the pathogenesis of suicidal behavior in MDD and implicate the amygdala-ventral/medial PFC circuit as a potential target for suicide intervention

    Soil Chemical Properties Depending on Fertilization and Management in China: A Meta-Analysis

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    The long-term overuse of fertilizers negatively affects soil chemical properties and health, causing unsustainable agricultural development. Although many studies have focused on the effects of long-term fertilization on soil properties, few comparative and comprehensive studies have been conducted on fertilization management over the past 35 years in China. This meta-analysis (2058 data) evaluated the effects of the fertilizer, climate, crop types, cultivation duration and soil texture on the soil chemical properties of Chinese croplands. NPKM (NPK fertilizers + manure) led to the highest increase in pH (โˆ’0.1), soil organic carbon (SOC) (+67%), total nitrogen (TN) (+63%), alkali-hydrolysable nitrogen (AN) (+70%), total phosphorus (TP) (+149%) and available potassium (AK) (+281%) compared to the unfertilized control, while the sole nitrogen fertilizer (N) led to the lowest increase. The SOC (+115%) and TN (+84%) showed the highest increase under the influence of NPKM in an arid region. The increase in the chemical properties was higher in unflooded crops, with the maximum increase in the wheatโ€“maize rotation, compared to rice, under NPKM. The SOC and TN increased faster under the influence of organic fertilizers (manure or straw) compared to mineral fertilization. Fertilizers produced faster effects on the change in the SOC and TN in sandy loam compared to the control. Fertilizers showed the highest and lowest effects on change in pH, organic C to total N ratio (C/N), TP and TK in clay loam with the cultivation duration. NPKM greatly increased the C/N compared to NPK in an arid region by 1.74 times and in wheat by 1.86 times. Reaching the same SOC increase, the lowest TN increase was observed in wheat, and the lowest increase in TP and AK was observed in rice, compared to the other crops. These results suggest that organic fertilizers (manure or straw) play important roles in improving soil fertility and in acidification. NPKM greatly increased the potential for soil C sequestration in wheat and in the arid region. The small increases in TP and TK can increase the SOC in rice and in the humid region. Therefore, considering the crop types and climatic conditions, reduced fertilization and the combination of mineral fertilizers with manure may be the best ways to avoid agricultural soil deterioration and increase soil carbon sequestration
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