Adjusting cotton planting density under the climatic conditions of Henan Province, China


Autoři: Liyuan Liu aff001;  Chuanzong Li aff001;  Yingchun Han aff001;  Zhanbiao Wang aff001;  Lu Feng aff001;  Xiaoyu Zhi aff001;  Beifang Yang aff001;  Yaping Lei aff001;  Wenli Du aff001;  Yabing Li aff001
Působiště autorů: Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, China aff001;  State Key Laboratory of Cotton Biology, Anyang, Henan, China aff002
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: 10.1371/journal.pone.0222395

Souhrn

The growth and development of cotton are closely related to climatic variables such as temperature and solar radiation. Adjusting planting density is one of the most effective measures for maximizing cotton yield under certain climatic conditions. The objectives of this study were (1) to determine the optimum planting density and the corresponding leaf area index (LAI) and yield under the climatic conditions of Henan Province, China, and (2) to learn how climatic conditions influence cotton growth, yield, and yield components. A three-year (2013–2015) field experiment was conducted in Anyang, Henan Province, using cultivar SCRC28 across six planting density treatments: 15,000, 33,000, 51,000, 69,000, 87,000, and 105,000 plants ha−1. The data showed that the yield attributes, including seed cotton yield, lint yield, dry matter accumulation, and the LAI, increased as planting density increased. Consequently, the treatment of the maximum density with 105,000 plants ha-1 was the highest-yielding over three years, with the LAIs averaged across the three years being 0.37 at the bud stage, 2.36 at the flower and boll-forming stage, and 1.37 at the boll-opening stage. Furthermore, the correlation between the cotton yield attributes and meteorological conditions indicated that light interception (LI) and the diurnal temperature range were the climatic factors that most strongly influenced cotton seed yield. Moreover, the influence of the number of growing degree days (GDD) on cotton was different at different growth stages. These observations will be useful for determining best management practices for cotton production under the climatic conditions of Henan Province, China.

Klíčová slova:

Cotton – Flowering plants – Flowers – Leaves – Seasons – Seeds – Planting – Buds


Zdroje

1. McConnell JS, Mozaffari M. Yield, Petiole Nitrate, and Node Development Responses of Cotton to Early Season Nitrogen Fertilization. Journal of Plant Nutrition. 2005;27(7):1183–97. doi: 10.1081/pln-120038543

2. Yang G-z, Zhou M-y. Multi-Location Investigation of Optimum Planting Density and Boll Distribution of High-Yielding Cotton (G. hirsutum L.) in Hubei Province, China. Agricultural Sciences in China. 2010;9(12):1749–57. doi: 10.1016/s1671-2927(09)60273-x

3. Zhang H, Tian W, Zhao J, Jin L, Yang J, Liu C, et al. Diverse genetic basis of field-evolved resistance to Bt cotton in cotton bollworm from China. Proc Natl Acad Sci U S A. 2012;109(26):10275–80. Epub 2012/06/13. doi: 10.1073/pnas.1200156109 22689968; PubMed Central PMCID: PMC3387040.

4. Tian B, Zhou Z, Du FK, He C, Xin P, Ma H. The Tanaka Line shaped the phylogeographic pattern of the cotton tree (Bombax ceiba) in southwest China. Biochemical Systematics and Ecology. 2015;60:150–7. doi: 10.1016/j.bse.2015.04.014

5. Yang Y, Yang Y, Han S, Macadam I, Liu DL. Prediction of cotton yield and water demand under climate change and future adaptation measures. Agricultural Water Management. 2014;144:42–53. doi: 10.1016/j.agwat.2014.06.001

6. Bednarz CW, Nichols RL; Brown SM. Plant Density Modifies Within-Canopy Cotton Fiber Quality. Crop Science. 2006;46(2): 950–956.

7. Yang G-z, Luo X-j, Nie Y-c, Zhang X-l. Effects of Plant Density on Yield and Canopy Micro Environment in Hybrid Cotton. Journal of Integrative Agriculture. 2014;13(10):2154–63. https://doi.org/10.1016/S2095-3119(13)60727-3.

8. Bednarz CW., Shurley WD, Anthony WS, Nichols RL. Yield, quality, and profitability of cotton produced at varying plant densities. Agronomy Journal; 2005 97 (1): 235–240. doi: 10.1051/agro:2004062

9. Boroomandan P, Khoramivafa M, Haghi Y, Ebrahimi. The effects of nitrogen starter fertilizer and plant density on yield, yield components and oil and protein content of soybean (Glycine max L. Merr). Pakistan journal of biological sciences. 2009; 12(24): 378–382. doi: 10.3923/pjbs.2009.378.382 19579973

10. Liu Y-E., Hou P, Xie R-Z, Hao W-P, Li S-K, Mei XR. Spatial variation and improving measures of the utilization efficiency of accumulated temperature. Crop Science 2015;55(4), 1806–1817. doi: 10.2135/cropsci2014.10.0735

11. Iizumi T, Ramankutty N. How do weather and climate influence cropping area and intensity? Global Food Security. 2015;4:46–50. doi: 10.1016/j.gfs.2014.11.003

12. Xue H, Han Y, Li Y, Wang G, Feng L, Fan Z, et al. Spatial distribution of light interception by different plant population densities and its relationship with yield. Field Crops Research. 2015;184:17–27. doi: 10.1016/j.fcr.2015.09.004

13. Tsimba R, Edmeades GO, Millner JP, Kemp PD. The effect of planting date on maize grain yields and yield components. Field Crops Research. 2013;150:135–44. doi: 10.1016/j.fcr.2013.05.028

14. Wang C, Wang D, Li M, Ruan M, S. Canopy Structure and Radiation Interception of Cotton Grown under High Density Condition in Northern Xinjiang. Cotton Science, 2006;18(4):223–227. doi: 10.3969/j.issn.1002-7807.2006.04.007

15. Dong H, Li W, Tang W, Li Z, Zhang D, Niu Y. Yield, quality and leaf senescence of cotton grown at varying planting dates and plant densities in the Yellow River Valley of China. Field Crops Research. 2006;98(2–3):106–15. doi: 10.1016/j.fcr.2005.12.008

16. Kaggwa-Asiimwe R, Andrade-Sanchez P, Wang G. Plant architecture influences growth and yield response of upland cotton to population density. Field Crops Research. 2013;145:52–9. doi: 10.1016/j.fcr.2013.02.005

17. Giuliani R, Magnanini E, Fragassa C, Nerozzi F. Ground monitoring the light–shadow windows of a tree canopy to yield canopy light interception and morphological traits. Plant, Cell and Environment. 2000; 23: 783–796. doi: 10.1046/j.1365-3040.2000.00600.x

18. Mariscal M, Orgaz F, Villalobos F. Modelling and measurement of radiation interception by olive canopies. Agricultural and Forest Meteorology. 2000;100:183–197. doi: 10.1016/s0168-1923(99)00137-9

19. Galanopoulou-Sendouka S, Sficas A, Fotiadis N, Gagianas A., Gerakis P. Effect of population density, planting date, and genotype on plant growth and development of cotton. Agronomy Journal.1980; 72(2):347. doi: 10.2134/agronj1980.00021962007200020022x

20. Tetio-Kagho F, Gardner F. Responses of maize to plant population density. I. Canopy development, light relationships, and vegetative growth. 1988; 80(6):930. doi: 10.2134/agronj1988.00021962008000060018x

21. Begna S, Hamilton R, Dwver L., Stewart D, Smith D. Effects of population density and planting pattern on the yield and yield components of leafy reduced-stature maize in a short-season area. Agronomy & Crop Science 1997;179: 9–17. doi: 10.1111/j.1439-037X.1997.tb01142.x

22. Sarlikioti V, de Visser PH, Marcelis LF. Exploring the spatial distribution of light interception and photosynthesis of canopies by means of a functional-structural plant model. Ann Bot. 2011;107(5):875–83. Epub 2011/03/01. doi: 10.1093/aob/mcr006 21355008; PubMed Central PMCID: PMC3077986.

23. Mao L, Zhang L, Zhao X, Liu S, van der Werf W, Zhang S, et al. Crop growth, light utilization and yield of relay intercropped cotton as affected by plant density and a plant growth regulator. Field Crops Research. 2014;155:67–76. doi: 10.1016/j.fcr.2013.09.021

24. Liu T, Gu L, Dong S, Zhang J, Liu P, Zhao B. Optimum leaf removal increases canopy apparent photosynthesis, 13C-photosynthate distribution and grain yield of maize crops grown at high density. Field Crops Research. 2015;170:32–9. doi: 10.1016/j.fcr.2014.09.015

25. Srinivasan V, Kumar P, Long SP. Decreasing, not increasing, leaf area will raise crop yields under global atmospheric change. Glob Chang Biol. 2017;23(4):1626–35. Epub 2016/11/20. doi: 10.1111/gcb.13526 27860122; PubMed Central PMCID: PMC5347850.

26. Xu W, Liu C, Wang K, Xie R, Ming B, Wang Y, et al. Adjusting maize plant density to different climatic conditions across a large longitudinal distance in China. Field Crops Research. 2017;212:126–34. doi: 10.1016/j.fcr.2017.05.006

27. Flans F, Kiniry J, Board J, Westagte M, Reicosky D. Row spacing effects on light extinction coefficients of corn, sorghum, soybean and sunflower. Agronomy Journal, 1996; 88(2). 185. doi: 10.2134/agronj1996.00021962008800020011x

28. Maddonni G, Otegui M, Cirilo A. Plant population density: row spacing and hybrid effects on maize canopy architecture and light attenuation.Field Crops Research, 2001;71(3):183–193 doi: 10.1016/s0378-4290(01)00158-7

29. Chenu K, Franck N, Dauzat J, Barczi J, Rey H., Lecoeur J. Integrated responses of rosette organogenesis, morphogenesis and architecture to reduced incident light in Arabidopsis thaliana results in higher efficiency of light interception. Functional Plant Biology. 2005; 32(12): 1123–1134. doi: 10.1071/FP05091

30. Escobar-Gutiérrez AJ, Combes D, Rakocevic M, de Berranger C, Eprinchard-Ciesla A, Sinoquet H, et al. Functional relationships to estimate Morphogenetically Active Radiation (MAR) from PAR and solar broadband irradiance measurements: The case of a sorghum crop. Agricultural and Forest Meteorology. 2009;149(8):1244–53. doi: 10.1016/j.agrformet.2009.02.011

31. Clover GRG, Jaggard KW, Smith HG, Azam-Ali SN. The use of radiation interception and transpiration to predict the yield of healthy, droughted and virus-infected sugar beet. The Journal of Agricultural Science. 2001;136(2):169–78. doi: 10.1017/s002185960100853x

32. Wiechers D, Kahlen K, Stützel H. Evaluation of a radiosity based light model for greenhouse cucumber canopies. Agricultural and Forest Meteorology. 2011;151(7):906–15. doi: 10.1016/j.agrformet.2011.02.016

33. Duvrick D, Cassman K. Post-green revolution trends in yield potential of temperate maize in north-central United States. Crop Science. 1999;39(6):1622–1630. doi: 10.2135/cropsci1999.3961622x

34. Chen G, Gao J, Zhao M, Dong S, Li K., Yang Q, et al. Distribution, yield structure, and key cultural techniques of maize superhigh yield plots in recent years. Acta Agronomica Sinica. 2012; 38(1):80–85. doi: 10.3724/SP.J.1006.2012.00080

35. van Ittersum MK, Cassman KG. Yield gap analysis—Rationale, methods and applications—Introduction to the Special Issue. Field Crops Research. 2013;143:1–3. doi: 10.1016/j.fcr.2012.12.012

36. Zhi X, Han Y, Li Y, Wang G, Du W, Li X, et al. Effects of plant density on cotton yield components and quality. Journal of Integrative Agriculture. 2016;15(7):1469–79. doi: 10.1016/s2095-3119(15)61174-1

37. Gerardeaux E, Jordan-Meille L, Pellerin S. Radiation interception and conversion to biomass in two potassium-deficient cotton crops in South Benin. The Journal of Agricultural Science. 2009;147(2):155–68. doi: 10.1017/s0021859608008381

38. Tiwari R, Picchioni G, Steiner L, Jones D, Hughs S, Zhang J. Genetic variation in salt tolerance at the seedling stage in an interspecific backcross inbred line population of cultivated tetraploid cotton. Euphytica. 2013;194(1), 1–11. doi: 10.1007/s10681-013-0927-x

39. Boquet D. Cotton in ultra-narrow row spacing: Plant density and nitrogen fertilizer rates. Agronomy Journal, 2005;97(1): 279–287. doi: 10.2134/agronj2005.0279

40. Jones M, Wells R. Dry matter allocation and fruiting patterns of cotton grown at two divergent plant populations. Crop Science. 1997; 37(3): 797–802. doi: 10.2135/cropsci1997.0011183X003700030017x

41. Dai J, Li W, Tang W, Zhang D, Li Z, Lu H, et al. Manipulation of dry matter accumulation and partitioning with plant density in relation to yield stability of cotton under intensive management. Field Crops Research. 2015;180:207–15. doi: 10.1016/j.fcr.2015.06.008

42. Jones MA, Wells R. Dry matter allocation and fruiting patterns of cotton grown at two divergent plant populations. Crop Science. 1997;37:797–802. doi: 10.2135/cropsci1997.0011183X003700030017x

43. Evans L, Fischer R. Yield potential: its definition, measurement, and significance. Crop Science. 1999;39(6):1544–1551. doi: 10.2135/cropsci1999.3961544x

44. Peng S, Huang J, Sheehy J, Laza R, Visperas R, Zhong X, et al. Rice yields decline with higher night temperature from global warming. 2004;101(27):9971–9975. doi: 10.1073/pnas.0403720101 15226500

45. Echarte L, Luque S, Andrade F, Sadras V, Cirilo A, Otegui M,et al. Response of maize kernel number to plant density in Argentinean hybrids released between 1965 and 1993. Field Crops Research. 2000;68:1–8. doi: 10.1016/S0378-4290(00)00101-5

46. Hecht VL, Temperton VM, Nagel KA, Rascher U, Pude R, Postma JA. Plant density modifies root system architecture in spring barley (Hordeum vulgare L.) through a change in nodal root number. Plant and Soil. 2018;439(1–2):179–200. doi: 10.1007/s11104-018-3764-9

47. Zhi X, Han Y, Mao S, Wang G, Feng L, Yang B, et al. Light spatial distribution in the canopy and crop development in cotton. PLoS One. 2014;9(11):e113409. Epub 2014/11/20. doi: 10.1371/journal.pone.0113409 25409026; PubMed Central PMCID: PMC4237451.


Článek vyšel v časopise

PLOS One


2019 Číslo 9

Nejčtenější v tomto čísle

Tomuto tématu se dále věnují…


Kurzy

Zvyšte si kvalifikaci online z pohodlí domova

Krvácení v důsledku portální hypertenze při jaterní cirhóze – od pohledu záchranné služby až po závěrečný hepato-gastroenterologický pohled
nový kurz
Autoři: PhDr. Petr Jaššo, MBA, MUDr. Hynek Fiala, Ph.D., prof. MUDr. Radan Brůha, CSc., MUDr. Tomáš Fejfar, Ph.D., MUDr. David Astapenko, Ph.D., prof. MUDr. Vladimír Černý, Ph.D.

Rozšíření možností lokální terapie atopické dermatitidy v ordinaci praktického lékaře či alergologa
Autoři: MUDr. Nina Benáková, Ph.D.

Léčba bolesti v ordinaci praktického lékaře
Autoři: MUDr. PhDr. Zdeňka Nováková, Ph.D.

Revmatoidní artritida: včas a k cíli
Autoři: MUDr. Heřman Mann

Jistoty a nástrahy antikoagulační léčby aneb kardiolog - neurolog - farmakolog - nefrolog - právník diskutují
Autoři: doc. MUDr. Štěpán Havránek, Ph.D., prof. MUDr. Roman Herzig, Ph.D., doc. MUDr. Karel Urbánek, Ph.D., prim. MUDr. Jan Vachek, MUDr. et Mgr. Jolana Těšínová, Ph.D.

Všechny kurzy
Kurzy Doporučená témata Časopisy
Přihlášení
Zapomenuté heslo

Nemáte účet?  Registrujte se

Zapomenuté heslo

Zadejte e-mailovou adresu se kterou jste vytvářel(a) účet, budou Vám na ni zaslány informace k nastavení nového hesla.

Přihlášení

Nemáte účet?  Registrujte se