Advertisement

Genetic Resources and Crop Evolution

, Volume 66, Issue 7, pp 1601–1613 | Cite as

Yield components of forage ramie (Boehmeria nivea L.) and their effects on yield

  • Ying Xu
  • Qing Tang
  • Zhigang Dai
  • Zemao Yang
  • Chaohua Cheng
  • Canhui Deng
  • Chan Liu
  • Jianhua ChenEmail author
  • Jianguang SuEmail author
Research Article
  • 103 Downloads

Abstract

Ramie (Boehmeria nivea L.) is a perennial herb and an ideal raw material for plant protein feed. Thus, the selection and breeding of high-yielding varieties of forage ramie have a considerable influence on livestock husbandry development. Although yield and yield components provide important indices for evaluating germplasm resources and breeding new varieties, only a few studies have examined ramie forage yield traits. In this study, we assessed the growth rate, node number, node length, ramet number, plant height, dry-fresh weight ratio, and yield of 24 ramie varieties harvested at 12 time points during the middle period of growing season in Yuanjiang, China, from 2016 to 2017. We determined correlations among these traits and their effects on yield. The forage yield and its components showed high phenotypic diversity. Five components (namely, growth rate, node number, node length, ramet number, and plant height) showed significant positive correlations with forage yield, whereas dry-fresh weight ratio showed a significant negative correlation with yield. The principal component analysis revealed that a plant type with rapid growth, more nodes, strong ramets, and dense leaves can significantly improve forage yield. Ramet number and plant height were found to be the most important yield indices, with ramet number presenting a slightly stronger influence on yield. We established a regression equation to represent the relationship between yield components and yield. This study provides important information that will facilitate the breeding and germplasm screening of high-yielding forage ramie for an ideal plant type.

Keywords

Ramie Forage Yield component High yield Breeding and germplasm screening 

Notes

Acknowledgements

We acknowledge all the partners, particularly Zhimin Sun and Zhijian Tan, who helped harvest ramie. We thank the National Field Genebank for Ramie for providing the varieties.

Funding

The study was funded by the Agricultural Science and Technology Innovation Program of CAAS (ASTIP-IBFC01, CAAS-XTCX2016016-5, CAAS-XTCX2016015), the National Modern Agro-industry Technology Research System (CARS-16-E01), and the Protection and Utilization of Crop Germplasm Resource.

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interest.

References

  1. Ashikari M, Matsuoka M (2006) Identification, isolation and pyramiding of quantitative trait loci for rice breeding. Trends Plant Sci 7(11):344–350.  https://doi.org/10.1016/j.tplants.2006.05.008 CrossRefGoogle Scholar
  2. Bai YC, Guo T, Yang RF, She W, Cao Y, Xiao CX, Cui GX (2015) Effect of nitrogen fertilization rate and cutting height on yields, nutritive values and root-rot incidence in forage ramie. Acta Pratacult Sin 24(12):112–120.  https://doi.org/10.11686/cyxb2015294 Google Scholar
  3. Bao SD (2000) Soil and agricultural chemistry analysis. China Agricultural Press, BeijingGoogle Scholar
  4. Chen KM, Xiong HP, Zhu AG, Luan MB, Hou M, Chen P, Chen JK, Gao G, Yu CM (2017) Correlation and regression analysis of biomass and biomass components of ramie. Plant Fiber Sci China 39(6):288–291Google Scholar
  5. De Toledo GSP, da Silva LP, de Quadros ARB, Retore M, Araújo IG, Brum HS, Ferreira P, Melchior R (2008) Productive performance of rabbits fed with diets containing ramie (Boehmeria nivea) hay in substitution to alfalfa (Medicago sativa) hay. In: 9th world rabbit congress. Verona, Italy, pp 827–830Google Scholar
  6. Dinh VT, Pham BD, Hoang VH (2007) Evaluation of ramie (Boehmeria nivea) foliage as a feed for the ruminant. In: Proceedings MEKARN regional conference: matching livestock systems with available resources. Halong Bay, Vietnam.Google Scholar
  7. Francis D, Finer JJ, Grotewold E (2017) Challges and opportunities for improving food quality and nutrition through plant biotechnology. Curr Opin Biotechnol 44:124–129.  https://doi.org/10.1016/j.copbio.2016.11.009 CrossRefGoogle Scholar
  8. Gabriel FP, Marcelo N, Cléber G, Adriano C, José MC, Flavio B, Luana R, Rosana PV, Tereza OB, Claudio B (2016) Genome wide association study (GWAS) for grain yield in rice cultivated under water deficit. Genetica 144:651–664.  https://doi.org/10.1007/s10709-016-9932-z CrossRefGoogle Scholar
  9. Gao G, Xiong HP, Chen P, Chen KM, Chen JK, Yu CM (2016) Study of ramie leaf and stem silage on growth performance and meat quality of Boer crossbreed goat. Feed Ind 37(19):20–23.  https://doi.org/10.13302/j.cnki.fi.2016.19.006 Google Scholar
  10. Garcia del Moral F, Rharrabti Y, Royo C (2003) Evaluation of grain yield and its components in durum wheat under mediterranean. Agron J 95(2):266–274.  https://doi.org/10.2134/agronj2003.2660 CrossRefGoogle Scholar
  11. Gong ZT, Zhang GL, Chen ZC (2007) Pedogenesis and soil taxonomy. Science Press, BeijingGoogle Scholar
  12. Habier D, Fernando RL, Dekkers JCM (2007) The impact of genetic relationship information on genome-assisted breeding values. Genetics 177:2389–2397.  https://doi.org/10.1534/genetics.107.081190 CrossRefGoogle Scholar
  13. He JF, Zhao XQ, Laroche A, Lu ZX, Liu HK, Li ZQ (2014) Genotyping-by-sequencing (GBS), an ultimate marker-assisted selection (MAS) tool to accelerate plant breeding. Front Plant Sci 5:1–8.  https://doi.org/10.3389/fpls.2014.00484 CrossRefGoogle Scholar
  14. He Y, Wang HR, Xu JH, Zhao R (2017) Evaluation on feeding value of ramie using in Vitro gas production and Nylon bag methods. Chin J Anim Nutr 29(2):690–698.  https://doi.org/10.3969/j.issn.1006-267x.2017.02.039 Google Scholar
  15. Jiang T (2008) Studies on yield and quality character of ramie (Boehmeria nivea L.) germplasm for forage. Dissertation, Chinese Academy of Agricultural SciencesGoogle Scholar
  16. Jiang GT, Lin Q, Li C, Zhang X, Wu DQ, Wang XR, Huang X, Dai QZ (2016) Effect of different ramie levels of diets on growth performance and intestinal mucosal morphology of landes geese. J Domestic Anim Ecol 36(11):32–36Google Scholar
  17. Joseph M, Gopalakrishnan S, Sharma RK, Singh VP, Singh AK, Singh NK, Mohapatra T (2004) Combining bacterial blight resistance and Basmati quality characteristics by phenotypic and molecular marker-assisted selection in rice. Mol Breed 13:377–387CrossRefGoogle Scholar
  18. Kang WL, Jie YC, Xing HC, Lei HF, She W (2010) Evaluation and identification on botanical characters and quality characters of forage ramie germplasm resources. Pratacult Sci 27(10):74–78Google Scholar
  19. Kipriotis E, Xiong HP, Vafeiadakis T, Kipriot M, Alexopoulou E (2015) Ramie and kenaf as feed crops. Ind Crops Prod 68:126–130.  https://doi.org/10.1016/j.indcrop.2014.10.002 CrossRefGoogle Scholar
  20. Liu H, Ma X, Zhang XQ, Chen C, Tang L, Yang ZF, Qi X (2016) Path analysis of yield and mutation analysis of agronomic traits in Lolium multiflorum. Pratacult Sci 33(10):2071–2081.  https://doi.org/10.11829/j.issn.1001-0629.2015-0728 Google Scholar
  21. Luan MB, Jian JB, Chen P, Chen JH, Chen JH, Gao Q, Gao G, Zhou JH, Chen KM, Guang XM, Chen JK, Zhang QQ, Wang XF, Fang L, Sun ZM, Bai MZ, Fang XD, Zhao SC, Xiong HP, Yu CM, Zhu AG (2018) Draft genome sequence of ramie, Boehmeria nivea (L.) Gaudich. Mol Ecol Resour 18:639–645.  https://doi.org/10.1111/1755-0998.12766 CrossRefGoogle Scholar
  22. Nie Y, Liu ZH, Jiang LH, Li JY, Dong SF (2000) A new method for analyzing soil available K—cation exchange resin membrane technique. Chin J Soil Sci 31(3):117–118.  https://doi.org/10.19336/j.cnki.trtb.2000.03.007 Google Scholar
  23. Peng SB, Khush GS, Virka P, Tang QY, Zou YB (2008) Progress in ideotype breeding to increase rice yield potential. Field Crops Res 108(1):32–38CrossRefGoogle Scholar
  24. Qian Q, Guo LB, Smith SM, Li JY (2016) Breeding high-yield superior quality hybrid super rice by rational design. Natl Sci Rev 3(3):283–294.  https://doi.org/10.1093/nsr/nww006 CrossRefGoogle Scholar
  25. Ren Y, Xin JS, Tian YG, Xu AG, He LY, Zhu L, Qu H (2006) Soil testing. Part 6: method for dtermination of soil organic matter. China Agriculture Press, BeijingGoogle Scholar
  26. Sakiroglu M, Brumme EC (2017) Identification of loci controlling forage yield and nutritive value in diploid alfalfa using GBS-GWAS. Theor Appl Genet 130:261–268.  https://doi.org/10.1007/s00122-016-2782-3 CrossRefGoogle Scholar
  27. Sun WB, Feng GG, Ma HL, Liu Q, Hou XY (2017) Comprehensive evaluation of different alfalfa varieties by grey correlation degree method in desert oasis irrigation area and semi-arid irrigation area in Gansu. J Gansu Agric Univ 52(5):73–82.  https://doi.org/10.13432/j.cnki.jgsau.2017.05.012 Google Scholar
  28. Suryanah S, Rochana A, Susilawati I, Indiriani NP (2017) Ramie (Boehmeria nivea) plant nutrient quality as feed forage at various cutting ages. Anim Product 19(2):111–117Google Scholar
  29. Tester M, Langridge P (2010) Breeding technologies to increase crop production in a changing world. Science 327(5967):818–822.  https://doi.org/10.1126/science.1183700 CrossRefGoogle Scholar
  30. Volenec JJ, Cherney JH, Johnson KD (1987) Yield components, plant morphology, and forage quality of alfalfa as influenced by plant population. Crop Sci 27(2):321–326.  https://doi.org/10.2135/cropsci1987.0011183X002700020040x CrossRefGoogle Scholar
  31. Wang XF, Jie YC (2012) Effects of laying hens growth with compound feed of ramie (In Chinese). Chin Livest Poult Breed 28(10):140−142.Google Scholar
  32. Wang ZH, Wang YB, Wang YP, Zhang X, Dong JP, Liu JY (2000) Genetic improvement of plant type and yield traits of maize inbred lines. Crops 16(1):15–16.  https://doi.org/10.16035/j.issn.1001-7283.2000.01.007 Google Scholar
  33. Wu DQ, Wei ZS, Gao S, Li ZC, Zeng GZ, Hou ZP, Wang YZ, Dai QZ (2017) Effects of replacing different partial alfalfa hay with ramie silage on performance, milk composition and serum parameters of dairy cows. Chin J Anim Nutr 29(5):1645–1651.  https://doi.org/10.3969/j.issn.1006-267x.2017.05.024 Google Scholar
  34. Xin JS, Tian YG, Ren Y, Huang TP, Zheng L (2006) Soil testing. Part 7: method for determination of available phosphorus in acid soil. China Agriculture Press, BeijingGoogle Scholar
  35. Xiong HP (1989) Evaluation of the value of ramie forage. Feed Res 12(4):19–21.  https://doi.org/10.13557/j.cnki.issn1002-2813.1989.04.010 Google Scholar
  36. Xiong HP, Yu CM, Wang YZ, Tang SW, Guo YL, Zhu AG (2005) Study on selection and breeding of new feed ramie variety Zhongsizhu No. 1. China’s Fibers Products 27(1):1–4Google Scholar
  37. Yang SR, Zhang LB, Chen WF, Xu ZJ, Wang JM (1996) Theories and methods of rice breeding for maximum yield. Chin J Rice Sci 10(2):115–120.  https://doi.org/10.16819/j.1001-7216.1996.02.009 Google Scholar
  38. Yao YF, Zeng RQ, Lian DM, Lai ZF, Hong JJ (2017) Effects of different cultivation methods on fresh yield and feeding value of forage ramie. J Anhui Agric Sci 45(9):113–114.  https://doi.org/10.13989/j.cnki.0517-6611.2017.09.037 Google Scholar
  39. Yu CY (1998) Discussion on breeding for new plant type rice and green revolution. Acta Agricult Jiangxi 10(1):60–64.  https://doi.org/10.19386/j.cnki.jxnyxb.1998.01.010 Google Scholar
  40. Yu CM (2001) The value and potential of ramie as livestock feed. Plant Fiber Products 23(2):23–26Google Scholar
  41. Yu CM, Wang YZ, Guo YL, Zhu AG, Xiong HP, Tang SW (2002) Reaping height’s effects on yield and content of crude protein of ramie for feed. China’s Plant Fiber Products 24(4):31–33Google Scholar
  42. Zeng RQ, Hong JJ, Yao YF (2013) Evaluation and selection of fodder ramie resources for soil and water conservation in southern China. Fujian J Agricult Sci 28(11):1137–1144Google Scholar
  43. Zeng DL, Tian ZX, Rao YC, Dong GJ, Yang YL, Huang LC, Leng YJ, Xu J, Sun C, Zhang GH, Hu J, Zhu L, Gao ZY, Hu XM, Guo LB, Xiong GS, Wang YH, Li JY, Qian Q (2017) Rational design of high-yield and superior-quality rice. Nat Plants 17031(3):1–5.  https://doi.org/10.1038/nplants.2017.31 Google Scholar
  44. Zhang F, Kang JM, Long RC, Yang QC, Zhang TJ (2017) Genetic analysis of yield related traits in alfalfa (Medicago sativa L.) hybrid populations. Chin J Grassland 39(5):39–45.  https://doi.org/10.16742/j.zgcdxb.2017-05-06 Google Scholar
  45. Zhu TT (2014) Comparative research on the feeding value of ramie and forage in south China. Dissertation, Chinese Academy of Agricultural SciencesGoogle Scholar
  46. Zhu SY, Zheng X, Dai QZ, Tang SW, Liu TM (2016a) Identification of quantitative trait loci for flowering time traits in ramie (Boehmeria nivea L Gaud). Euphytica 210:367–374.  https://doi.org/10.1007/s10681-016-1692-4 CrossRefGoogle Scholar
  47. Zhu TT, Zhu AG, Yu YT, Sun K, Mao HL, Chen Q (2016b) Research progress of ramie for feedstuff. Pratacult Sci 33(2):338–347.  https://doi.org/10.11829/j.issn.101-0629.2015-0319 Google Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Institute of Bast Fiber CropsChinese Academy of Agricultural SciencesChangshaChina
  2. 2.Key Laboratory of Biology and Processing of Bast FiberMinistry of Agriculture and VillageChangshaChina

Personalised recommendations