Rice Science
  • 首页
  • 期刊介绍
  • 编委会
  • 学术伦理
  • 投稿指南
  • 期刊订阅
  • 联系我们
  • English

Rice Science ›› 2021, Vol. 28 ›› Issue (3): 212-216.DOI: 10.1016/j.rsci.2021.04.001

• • 上一篇    下一篇

  • 收稿日期:2020-04-28 接受日期:2020-10-14 出版日期:2021-05-28 发布日期:2021-05-28

RichHTML

PDF

可视化

0

摘要/Abstract

引用本文

. [J]. Rice Science, 2021, 28(3): 212-216.

使用本文

0
    /   推荐

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.ricesci.org/CN/10.1016/j.rsci.2021.04.001

               http://www.ricesci.org/CN/Y2021/V28/I3/212

图/表 6

Table S1. Mean percent yield and losses during different progress at different sites in Africa.
Country/
Method
Hub/Site Harvesting Threshing Drying Parboiling Milling
Yield
(t/hm2)
Shattering
loss (%)
Stacking
loss (%)
Paddy re-threshed Scattered grains Washing Steaming Drying Grains dropped (%) Grains in husk or bran (%)
Cameroon Ndop 6.9
(3.7)a
3.17
(2.9)b
4.3
(2.2)b
2.2
(1.4)a
2.2
(1.3)a
0.54 (0.5)b 0.07
(0.0)b
0.04
(0.0)b
0.18
(0.5)b
3.32
(2.3)b
0.65
(0.8)c
Côte d’Ivoire Gagnoa 4.8
(2.7)b
1.56
(1.3)c
11.2
(3.4)a
0.01 (0.0)c
Madagascar Ambohibary 0.51
(0.3)c
0.52
(0.4)d
1.0
(1.4)ab
0.2
(0.1)b
0.44 (0.3)b 0.10
(0)c
0.0
(0)d
Mandrosohasina 0.31
(0.4)c
0.64
(0.7)d
0.6
(0.1)c
0.3
(0.1)b
0.35 (0.2)b
Mali Kouroumari 10.9
(5.4)a
0.0
(0)d
Sikasso 2.2
(1.8)c
6.03
(4.5)a
4.1
(2.1)b
Nigeria Nasarawa 0.79 (0.1)a 0.98
(0.1)a
0.90
(0.1)a
0.60
(0.1)a
6.60
(4.9)a
3.60
(2.7)a
Uganda Northern 4.3
(1.3)b
0.66
(0.3)c
2.2
(2.1)cd
0.8
(1.7)ab
0.4
(0.4)b
2.57
(1.2)b
1.15
(0.8)b
Western 5.2
(1.1)b
0.80
(0.4)c
3.6
(1.7)bc
0.8
(0.9)bc
0.5
(0.9)b
3.80
(2.9)b
0.94
(0.8)c
Methods Traditional 4.1
(3.1)
2.8
(3.7)*
4.2
(4.0)*
1.9
(1.3)*
1.6
(1.3)*
0.48 (0.4) 1.54
(0.6)*
1.32
(0.4)*
1.10
(0.4)*
7.70
(5.0)*
3.56
(2.3)*
Improved 5.3
(2.1)*
- - 0.08
(0.0)
0.03
(0.0)
0.01
(0.0)
0.01
(0.0)
0.01
(0.0)
1.41
(2.1)
0.93
(1.7)
Mean 4.8
(3.4)
2.8
(3.7)
4.2
(4.0)
1.4
(1.4)
1.2
(1.1)
0.48 (0.4) 0.78
(0.8)
0.71
(0.6)
0.54
(0.6)
4.94
(3.2)
3.50
(2.2)

Table S1. Mean percent yield and losses during different progress at different sites in Africa.

Country/
Method
Hub/Site Harvesting Threshing Drying Parboiling Milling
Yield
(t/hm2)
Shattering
loss (%)
Stacking
loss (%)
Paddy re-threshed Scattered grains Washing Steaming Drying Grains dropped (%) Grains in husk or bran (%)
Cameroon Ndop 6.9
(3.7)a
3.17
(2.9)b
4.3
(2.2)b
2.2
(1.4)a
2.2
(1.3)a
0.54 (0.5)b 0.07
(0.0)b
0.04
(0.0)b
0.18
(0.5)b
3.32
(2.3)b
0.65
(0.8)c
Côte d’Ivoire Gagnoa 4.8
(2.7)b
1.56
(1.3)c
11.2
(3.4)a
0.01 (0.0)c
Madagascar Ambohibary 0.51
(0.3)c
0.52
(0.4)d
1.0
(1.4)ab
0.2
(0.1)b
0.44 (0.3)b 0.10
(0)c
0.0
(0)d
Mandrosohasina 0.31
(0.4)c
0.64
(0.7)d
0.6
(0.1)c
0.3
(0.1)b
0.35 (0.2)b
Mali Kouroumari 10.9
(5.4)a
0.0
(0)d
Sikasso 2.2
(1.8)c
6.03
(4.5)a
4.1
(2.1)b
Nigeria Nasarawa 0.79 (0.1)a 0.98
(0.1)a
0.90
(0.1)a
0.60
(0.1)a
6.60
(4.9)a
3.60
(2.7)a
Uganda Northern 4.3
(1.3)b
0.66
(0.3)c
2.2
(2.1)cd
0.8
(1.7)ab
0.4
(0.4)b
2.57
(1.2)b
1.15
(0.8)b
Western 5.2
(1.1)b
0.80
(0.4)c
3.6
(1.7)bc
0.8
(0.9)bc
0.5
(0.9)b
3.80
(2.9)b
0.94
(0.8)c
Methods Traditional 4.1
(3.1)
2.8
(3.7)*
4.2
(4.0)*
1.9
(1.3)*
1.6
(1.3)*
0.48 (0.4) 1.54
(0.6)*
1.32
(0.4)*
1.10
(0.4)*
7.70
(5.0)*
3.56
(2.3)*
Improved 5.3
(2.1)*
- - 0.08
(0.0)
0.03
(0.0)
0.01
(0.0)
0.01
(0.0)
0.01
(0.0)
1.41
(2.1)
0.93
(1.7)
Mean 4.8
(3.4)
2.8
(3.7)
4.2
(4.0)
1.4
(1.4)
1.2
(1.1)
0.48 (0.4) 0.78
(0.8)
0.71
(0.6)
0.54
(0.6)
4.94
(3.2)
3.50
(2.2)
Fig. 1. Grain losses during different stages in countries of Sub-Saharan Africa (SSA).A, Regression of threshing loss by grain moisture content of paddy threshed by farmers (R² = 0.579). Traditional is manual threshing by beating panicle on a log of wood and mechanical threshing using motorized thresher such as the ASI-thresher. B, Proportion of impurities, broken rice and chalky grains in rice from different sites across Africa. Different lowercase letters within each quality attribute (impurity, broken and chalky grain) indicate significant difference at the 0.05 level. Numbers 1 to 12 indicate Mali/Sikasso, Senegal/Dagana, Nigeria/Kano, Niger/Tillaberi, Benin/Glazoue, Uganda/Northern, Cameroon/Ndop, Cote d’Ivoire/Gagnoa, Ghana/Narvrongo, Gambia/West Coast Region, Tanzania/Kahama/Kilombero and Sierra Leone/Manbolo, respectively.C, Quantitative and qualitative rice postharvest loss from harvesting to milling in Sub-Sahara Africa in 2018.

Fig. 1. Grain losses during different stages in countries of Sub-Saharan Africa (SSA).A, Regression of threshing loss by grain moisture content of paddy threshed by farmers (R² = 0.579). Traditional is manual threshing by beating panicle on a log of wood and mechanical threshing using motorized thresher such as the ASI-thresher. B, Proportion of impurities, broken rice and chalky grains in rice from different sites across Africa. Different lowercase letters within each quality attribute (impurity, broken and chalky grain) indicate significant difference at the 0.05 level. Numbers 1 to 12 indicate Mali/Sikasso, Senegal/Dagana, Nigeria/Kano, Niger/Tillaberi, Benin/Glazoue, Uganda/Northern, Cameroon/Ndop, Cote d’Ivoire/Gagnoa, Ghana/Narvrongo, Gambia/West Coast Region, Tanzania/Kahama/Kilombero and Sierra Leone/Manbolo, respectively.C, Quantitative and qualitative rice postharvest loss from harvesting to milling in Sub-Sahara Africa in 2018.

Table S2. Effect of variety, harvesting, threshing and drying method on proportion of impurities and head rice. %
Harvesting time Threshing method Drying method
Impurities Head rice Impurities Head rice Impurities Head rice
Source Intercept 0.41 (0.06) *** 49.2 (2.2) *** 0.245 (0.1) * 56.5 (2.4) *** 0.38 (0.2) * 52.18 (2.7) ***
OHT -0.06 (0.08) 8.5 (2.6) ** 1.3 (0.1) *** -5.0 (2.9) 1.7 (0.2) *** -13.3 (3.3) ***
FHT - - - - - -
Variety NERICA-L-19 0.047 (0.08) 18.4 (2.7) *** -0.004 (0.1) 14.1 (3.0) *** 0.042 (0.2) 26.3 (3.4) ***
TOX3145 - - - - - -
Goodness of fit (Adjusted R2) 0.23 0.47 0.48 0.57 0.35 0.57

Table S2. Effect of variety, harvesting, threshing and drying method on proportion of impurities and head rice. %

Harvesting time Threshing method Drying method
Impurities Head rice Impurities Head rice Impurities Head rice
Source Intercept 0.41 (0.06) *** 49.2 (2.2) *** 0.245 (0.1) * 56.5 (2.4) *** 0.38 (0.2) * 52.18 (2.7) ***
OHT -0.06 (0.08) 8.5 (2.6) ** 1.3 (0.1) *** -5.0 (2.9) 1.7 (0.2) *** -13.3 (3.3) ***
FHT - - - - - -
Variety NERICA-L-19 0.047 (0.08) 18.4 (2.7) *** -0.004 (0.1) 14.1 (3.0) *** 0.042 (0.2) 26.3 (3.4) ***
TOX3145 - - - - - -
Goodness of fit (Adjusted R2) 0.23 0.47 0.48 0.57 0.35 0.57
Table S3. Effects of grain quality on price of rice at milling sites (b) rice processing type and origin on postharvest loss.
Source Price (US$ per kg)
Intercept 0.835 (0.03) ***
Distance from nearest market -0.4 × 10-3 (0.0)
Broken rice (%) -1.3 × 10-3 (0.0) **
Chalkiness (%) -1.5 × 10-3 (0.0) *
Impurities (%) -0.8 × 10-3 (0.0)
Site-Manbolo (Sierra Leone) -0.205 (0.02) ***
Site-Kahama & Kilombero (Tanzania) -0.256 (0.03) ***
Site-Northern hub (Uganda) -
Member of Association-No 0.007 (0.03)
Member of Association-Yes -
Goodness of fit (Adjusted R2) 0.68

Table S3. Effects of grain quality on price of rice at milling sites (b) rice processing type and origin on postharvest loss.

Source Price (US$ per kg)
Intercept 0.835 (0.03) ***
Distance from nearest market -0.4 × 10-3 (0.0)
Broken rice (%) -1.3 × 10-3 (0.0) **
Chalkiness (%) -1.5 × 10-3 (0.0) *
Impurities (%) -0.8 × 10-3 (0.0)
Site-Manbolo (Sierra Leone) -0.205 (0.02) ***
Site-Kahama & Kilombero (Tanzania) -0.256 (0.03) ***
Site-Northern hub (Uganda) -
Member of Association-No 0.007 (0.03)
Member of Association-Yes -
Goodness of fit (Adjusted R2) 0.68
Table S4. Effects of rice processing type and origin on postharvest loss.
Type of processing and origin Predicted price (US$/kg) a Lower bound (95%) Upper bound
(95%)
Loss in value with respect to imported rice (%)
White milled and Imported 1.077 (0.02) a 1.040 1.114 -
Parboiled milled and Imported 0.986 (0.03) b 0.932 1.039 -
White milled and Domestic 0.844 (0.11) bc 0.624 1.065 21.6
Parboiled milled and Domestic 0.817 (0.03) d 0.760 0.873 17.1

Table S4. Effects of rice processing type and origin on postharvest loss.

Type of processing and origin Predicted price (US$/kg) a Lower bound (95%) Upper bound
(95%)
Loss in value with respect to imported rice (%)
White milled and Imported 1.077 (0.02) a 1.040 1.114 -
Parboiled milled and Imported 0.986 (0.03) b 0.932 1.039 -
White milled and Domestic 0.844 (0.11) bc 0.624 1.065 21.6
Parboiled milled and Domestic 0.817 (0.03) d 0.760 0.873 17.1
Table S5. Sites and number of actors selected per value chain segment for the determination of quantitative loss in rice in Africa.
Country/
Method
Hub/zone Harvesting Threshing Drying Parboiling Milling
Yield Shattering Stacking Paddy re-threshed panicle Scattered
paddy
Grain left in drying area Washing Steaming Drying Grain dropped Grain in husk or bran
Cameroon Ndop 120 60 60 60 60 60 16 16 16 12 12
Côte d’Ivoire Gagnoa 48 24 24 24
Madagascar Ambohibary 18 18 9 9 17 6 6
Mandrosohasina 12 12 6 6 12
Mali Kouroumari 9 9
Sikasso 120 60 57
Nigeria Nasarawa 30 90 90 90 36 36
Uganda Northern 30 30 25 24 24 9 9
Western 27 29 29 51 51 8 8
Method Traditional 201 135 135 105 105 143 53 53 53 35 35
Improved 144 98 98 45 45 0 53 53 53 45 45
Site 5 7 7 5 5 5 2 2 2 6 6
Sample size 345 233 233 150 150 143 106 106 106 80 80

Table S5. Sites and number of actors selected per value chain segment for the determination of quantitative loss in rice in Africa.

Country/
Method
Hub/zone Harvesting Threshing Drying Parboiling Milling
Yield Shattering Stacking Paddy re-threshed panicle Scattered
paddy
Grain left in drying area Washing Steaming Drying Grain dropped Grain in husk or bran
Cameroon Ndop 120 60 60 60 60 60 16 16 16 12 12
Côte d’Ivoire Gagnoa 48 24 24 24
Madagascar Ambohibary 18 18 9 9 17 6 6
Mandrosohasina 12 12 6 6 12
Mali Kouroumari 9 9
Sikasso 120 60 57
Nigeria Nasarawa 30 90 90 90 36 36
Uganda Northern 30 30 25 24 24 9 9
Western 27 29 29 51 51 8 8
Method Traditional 201 135 135 105 105 143 53 53 53 35 35
Improved 144 98 98 45 45 0 53 53 53 45 45
Site 5 7 7 5 5 5 2 2 2 6 6
Sample size 345 233 233 150 150 143 106 106 106 80 80

参考文献 21

[1] African Development Bank. 2016. Feed Africa: Strategy for Agricultural Transformation in Africa 2016-2025. Abidjan, Côte d’Ivoire: 30.
[2] Africa Rice Center. 2018. Continental Investment Plan for accelerating Rice Self-Sufficiency in Africa (CIPRiSSA). Abidjan, Côte d’Ivoire: 204.
[3] Africa Rice Center. 2019. Annual Report 2019: Toward rice-based food systems transformation in Africa. Abidjan, Côte d’Ivoire: Africa Rice Center: 28.
[4] Akoa-Etoa J M, Ndindeng S A, Owusu E S, Woin N, Bindzi B, Demont M, Bulte E. 2016. Consumer valuation of an improved rice parboiling technology: Experimental evidence from Cameroon. Afric J Agric Res Econom, 11(1): 8-21.
[5] Bourne M C. 2014. Food security: Postharvest losses. Encycl Agric Food Syst, 44: 338-351.
[6] Eyenga E F, Tang E N, Achu M B L, Boulanger R, Mbacham W F, Ndindeng S A. 2020. Physical, nutritional and sensory quality of rice-based biscuits fortified with Safou ( Dacryodes edulis) fruit powder. Food Sci Nutr, 8(7): 3413-3424.
[7] Futakuchi K, Manful J, Sakurai T. 2013. Improving grain quality of locally produced rice. In: Wopereis M C, Johnson D E, Ahmadi N, Tollens E, Jalloh A. Realizing Africa’s Rice Promise. Boston, USA: CAB International: 311-323.
[8] Grolleaud M. 1997. Postharvest losses: Discovering the full story. Rome: FAO.
[9] International Rice Research Institute (IRRI). 2020. World Statistics Online Query Facility. .
[10] Mapiemfu D L, Ndindeng S A, Ambang Z, Tang E N, Ngome F, Johnson J M, Tanaka A, Saito K. 2017. Physical rice quality attributes as affected by biophysical factors and pre-harvest practices. Int J Plant Prod, 11(4): 561-576.
[11] Minten B, Tamru S, Reardon T. 2020. Postharvest losses in rural-urban value chains: Evidence from Ethiopia. Food Policy, 101860.
[12] Migo-Sumagang M V P, Van Hung N, Detras M C M, Alfafara C G, Borines M G, Capunitan J A, Gummert M. 2020. Optimization of a downdraft furnace for rice straw-based heat generation. Renew Energy, 148: 953-963.
[13] Ndindeng S A, Manful J T, Futakuchi K, Mapiemfu D L, Akoa- Etoa J M, Bigoga J, Tang E N, Graham-Acquaah S, Moreira J. 2015a. A novel artisanal parboiling technology for rice processors in Sub-Saharan Africa. Food Sci Nutr, 3(6): 557-568.
[14] Ndindeng S A, Mbassi J E G, Mbacham W F, Manful J, Graham- Acquaah S, Moreira J, Dossou J, Futakuchi K. 2015b. Quality optimization in briquettes made from rice milling by-products. Energy Sustain Dev, 29: 24-31.
[15] Ndindeng S A, Wopereis M, Sanyang S, Futakuchi F. 2019. Evaluation of fan-assisted rice husk fuelled gasifier cookstoves for application in Sub-Sahara Africa. Renew Energy, 139: 924-935.
[16] Prusky D. 2011. Reduction of the incidence of postharvest quality losses, and future prospects. Food Secur, 3(4): 463-474.
[17] Tanaka A, Diagne M, Saito K. 2015. Causes of yield stagnation in irrigated lowland rice systems in the Senegal River valley: Application of dichotomous decision tree analysis. Field Crops Res, 176: 99-107.
[18] Yong H, Bao Y, Liu X, Algader A H. 1997. Grain postproduction practices and loss estimates in South China. Agric Mechan Asia, Latin Amer, 28: 37-40.
[19] Zhou L J, Chen L M, Jiang L, Zhang W W, Liu L L, Liu X, Zhao Z G, Liu S J, Zhang L J, Wang J K, Wan J M. 2009. Fine mapping of the grain chalkiness QTL qPGWC-7 in rice(Oryza sativa L.). Theor Appl Genet, 118(3): 581-590.
[20] Zohoun E V, Tang E N, Soumanou M M, Manful J, Akissoe N H, Bigoga J, Futakuchi K, Ndindeng S A. 2018a. Physicochemical and nutritional properties of rice as affected by parboiling steaming time at atmospheric pressure and variety. Food Sci Nutr, 6(3): 638-652.
[21] Zohoun E V, Ndindeng S A, Soumanou M M, Tang E N, Bigoga J, Manful J, Sanyang S, Akissoe N H, Futakuchi K. 2018b. Appropriate parboiling steaming time at atmospheric pressure and variety to produce rice with weak digestive properties. Food Sci Nutr, 6(4): 757-764.

相关文章 0

No related articles found!

编辑推荐

Metrics

阅读次数
全文


摘要

  • 摘要
  • 图/表
  • 参考文献
  • 相关文章
  • 编辑推荐
  • Metrics
回顶部
浙ICP备05004719号-15   公安备案号:33010302003355
版权所有 © 《Rice Science》编辑部
地址:浙江省杭州市体育场路359号 邮编:310006 电话:0571-63371017 E-mail:crrn@fy.hz.zn.cn; cjrs278@gmail.com
本系统由北京玛格泰克科技发展有限公司设计开发
总访问量: 今日访问: 在线人数: