Non-Destructive Leaf Area Estimation Model for Overall Growth Performances in Relation to Yield Attributes of Cassava (Manihot esculenta Cranz) under Water Deficit Conditions
Keywords:cassava; growth performances; leaf area index; non-destructive model; vegetation indices
Cassava is a tropical storage root crop, a source of carbohydrate and alternative energy. It has been classified as “drought tolerant plant” for the whole life cycle, except during the root initiation stage (120-150 DAP). Leaf area index (LAI) is one of the most parameters representing the overall growth and yield prediction in cassava. The aim of this investigation was to validate the physiological and growth performance of cassava in responses to water deficit stress in the field trial as well as to investigate the leaf area index as an important factor to cassava growth and storage root bulking. Leaf relative water content in cassava declined significantly upon a long period of water withholding, and regulated non-photochemical quenching (NPQ), leading to chlorophyll degradation, reduced number of leaves and limited leaf area index (LAI) and loss of storage root yield when compared with well-irrigated plants. Non-destructive leaf area estimation model under water deficit stress condition using spectral reflectance to determine the LAI and VIs was validated. The Ratio Vegetation Index (RVI) was suitable model with high coefficient of determination (R2 = 0.89). However, the RVI as LAI at 150 DAP (120 d water withholding) could be considered as the critical point to indicate cassava growth and yield performance. Based on the results, cassava growth, biomass and yield in the different environments may further be investigated, taking into consideration the genotypic variation and using remote sensing technology for rapid monitoring and accurate and cost-effective data assessment.
Adjebeng-Danquah J, Gracen VE, Offei SK, Asante IK, Manu-Advening J (2016a). Agronomic performance and genotypic diversity for morphological traits among cassava genotypes in the Guinea Savannah Ecology of Ghana. Journal of Crop Science and Biotechnology 19:99–108.
Adjebeng-Danquah J, Manu-Advening J, Gracen VE, Offei SK, Asante IK (2016b). Genotypic variation in abscisic acid content, carbon isotope ratio and their relationship with cassava growth and yield under moisture stress and irrigation. Journal of Crop Science and Biotechnology 19:263–273.
Adjebeng-Danquah J, Gracen VE, Offei SK, Asante IK, Manu-Advening J (2016c). Genetic variability in storage root bulking of cassava genotypes under irrigation and no irrigation. Agriculture and Food Security 5:9.
Alves AAC, Setter TL (2000). Response of cassava to water deficit: Leaf area growth and abscisic acid. Crop Science 40:131–137.
Alves AAC, Setter TL (2004). Response of cassava leaf area expansion to water deficit: Cell proliferation, cell expansion and delayed development. Annals of Botany 94:605–613.
An F, Li G, Li QX, Li K, Carvalho LJCB, Ou W, Chen S (2016). The comparatively proteomic analysis in response to cold stress in cassava plantlets. Plant Molecular Biology Reports 34:1095–1110.
Bakhshandeh E, Kamkar B, Tsialtas JT (2011). Application of linear models for estimation of leaf area in soybean [Glycine max (L.) Merr]. Photosynthetica 49:405–416.
Barr HD, Weatherley PE (1962). A re-examination of the relative turgidity technique for estimating water deficit in leaves. Australian Journal of Crop Science 15:413–428.
Boonseng O (2008). “How does the planting for high yield of cassava” Accessed: November 2016. http://www.tapiocathai.org/Articles/51_8.pdf.
Boonyanuphap J (2014). Principle of remote sensing for vegetation ecology and conversation. Odeonstore: Bangkok.
Calatayud PA, Llovera E, Bois JF, Lamaze T (2000). Photosynthesis in drought-adapted cassava. Photosynthetica 38:97–104.
Cemek B, Unlukara A, Kurunc A (2011). Nondestructive leaf-area estimation and validation for green pepper (Capsicum annuum L.) grown under different stress conditions. Photosynthetica 49:98–106.
Chaves MM, Pereira JS, Maroco J, Rodrigues ML, Ricardo CPP, Osório ML, Carvalho I, Faria T, Pinheiro C (2002). How plants cope with water stress in the field. Photosynthesis and growth. Annals of Botany 89:907–916.
CIAT (1976a). Annual report Centro International de Agricultura Tropical for 1975. Cali, Columbia.
CIAT (1976b). Cassava production systems program. Cali, Colombia.
Cock JH (1976). Characteristics of high yielding cassava varieties. Experimental Agriculture 12:135–143.
Cock JH, Franklin D, Sandoval G, Juri P (1979a). The ideal cassava plant for maximum yield. Crop Science 19:271–279.
Cock JH, Joseph KJ, Ramli K (1979b). Influence of soil applied micronutrients on cassava (Manihot esculenta) in Malaysian tropical oligotrophic peat. Experimental Agriculture 14, 105–111.
Crisrofori V, Rouphael Y, Gyves EM, Bignami C (2007). A simple model for estimating leaf area of hazelnut from linear measurements. Scientia Horticulturae 113:221–225.
Cruz JL, Mosquim PR, Palacani CR, Araújo WL, DaMatta FM (2003). Photosynthesis impairment in cassava leaves in response to nitrogen deficiency. Plant and Soil 257:417–423.
Dahal K, Vanlerberghe GC (2018). Improved chloroplast energy balance during water deficit enhances plant growth: more crop per drop. Journal of Experimental Botany 69:1183–1197.
Daryanto S, Wang L, Jacinthe PA (2017). Global synthesis of drought effects on cereal, legume, tuber and root crops production: A review. Agricultural Water Management 179:18–33.
Duque LO, Setter TL (2013). Cassava response to water deficit in deep pots: Root and shoot growth, ABA, and carbohydrate reserves in stems, leaves and storage root. Tropical Plant Biology, 6: 119–209.
Ekanayake IJ, Osiru DSO, Porto MCM (1998). Physiology of cassava. International Institute of Tropical Agriculture.
El-Sharkawy MA, Cock JH (1987). Response of cassava to water stress. Plant and Soil 100:345–360.
El-Sharkawy MA (2004). Cassava biology and physiology. Plant Molecular Biology 56:481–501.
El-Sharkawy MA (2007). Physiological characteristics of cassava tolerance to prolonged drought in the tropics: Implications for breeding cultivars adapted to seasonally dry and semiarid environments. Brazilian Journal of Plant Physiology 19:257–286.
El-Sharkawy MA, de Tafur SM (2010). Comparative photosynthesis, growth, productivity and nutrient use efficiency among tall- and short-stemmed rain-fed cassava cultivars. Photosynthetica 48:173–188.
El-Sharkawy MA, de Tafur SM, Lopez Y (2012). Eco-physiological research for breeding improved cassava cultivars in favorable and stressful environments in tropical/subtropical bio-systems. Environmental Research Journal 6:143–211.
Ezui KS, Leffelaar PA, Franke AC, Mando A, Giller KE (2018). Simulating drought impact and mitigation in cassava using the LINTUL model. Field Crops Research 219:256–272.
Fakir MSA, Mostafa MG, Karim MR, Prodhan AKMA (2011). Prediction of leaf number by linear regression models in cassava. Journal of Bangladesh Agriculture University 9:49–54.
Gitelson AA, Kaufman YJ, Stark R, Rundquist D (2002). Novel algorithms for remote estimation of vegetation fraction. Remote Sensing of Environment 80:76–87.
Gyves EM, Rouphael Y, Crisrofori V, Mira FR (2007) A non-destructive, simple and accurate model for estimating the individual leaf area of kiwi (Actinidia deliciosa). Fruits 62:171–176.
Haboudane D, Miller JR, Pattey E, Zarco-Tejada PJ, Strachan I (2004). Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture. Remote Sensing of Environment 90:337–352.
Hillock RJ, Thresh JM, Bellotti AC (2001). Cassava: biology, production, and utilization. CABI Publishing: USA.
Hossain S, Wang L, Chen T, Li Z (2017). Leaf area index assessment for tomato and cucumber growing period under different water treatments. Plant, Soil and Environment 63:461–467.
Huete AR (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment 25:295–309.
Huete AR, Didan K, Miura T, Rodriguea EP, Gao X, Ferreira LG (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 83:195–213.
Itani J, Oda T, Numao T (1999). Studies on mechanisms of dehydration postponement in cassava leaves under short-term soil water deficit. Plant Production Science 2:184–189.
Jansson C, Westerbergh A, Zhang J, Hu X, Sun C (2009). Cassava, a potential biofuel crop in (the) People’s Republic of China. Applied Energy 86:S95–S99.
Jonckheere I, Fleck S, Nackaerts K, Muysa B, Coppin P, Weiss M, Baret F (2004). Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography. Agricultural and Forest Meteorology 121:19–35.
Jone HG, Vaughan RA (2010). Remote sensing of vegetation. Oxford University Press: New York.
Jordan CF (1969). Leaf-area index from quality of light on the forest floor. Ecology 50:663–666.
Jose LZ, Whiting ML, Lampinen BD, Metcalf S, Ustin SL, Brown PH (2012). Prediction of leaf area index in almonds by vegetation indexes. Computers and Electronics Agriculture 85:24–32.
Keramatlou I, Sharifani M, Sabouri H, Alizadeh M, Kamkar B (2015). A simple linear model for leaf area estimation in Persian walnut (Juglans regia L.). Scientia Horticulturae 184:36–39.
Lenis JI, Calle F, Jaramillo G, Perez JC, Ceballos H, Cock JH (2006). Leaf retention and cassava productivity. Field Crops Research 95:126–134.
Lioa W, Wang G, Li Y, Wang B, Zhang P, Peng M (2016). Reactive oxygen species regulate leaf pulvinus abscission zone cell separation in response to water-deficit stress in cassava. Scientific Reports 6:21542.
Liao WB, Li YY, Lu C, Peng M (2017). Expression of sucrose metabolism and transport genes in cassava petiole abscission zones in response to water stress. Biologia Plantarum 61:219–226.
Liu Y, Zhang T, Wang J (2008). Photosynthesis and metabolite levels in dehydrating leaves of Reaumuria soongorica. Acta Biologica Cracoviensia Series Botanica 50:19–26.
Loggini B, Scartazza A, Brugnoli E, Navari-Izzo F (1999). Antioxidant defense system, pigment composition, and photosynthetic efficiency in two wheat cultivars subjected to drought. Plant Physiology 119:1091–1100.
Maxwell K, Johnson GN (2000). Chlorophyll fluorescence-a practical guide. Journal of Experimental Botany 51:659–668.
Nguyen TL, Gheewala SH, Garivait S (2007). Full chain energy analysis of fuel ethanol from cassava in Thailand. Environmental Science and Technology 41:4135–4142.
Ntawuruhunga P, Rubaihayo PR, Whyte JBT, Dixon AGO, Osiru DSO (2001). Inter-relationships among traits and path analysis for yield components of cassava: A research for storage root yield indicators. African Crop Science Journal 9:599–606.
Nuwamanya E, Chiwona-Karltun L, Kawuki RS, Baguma Y (2012). Bio-ethanol production from non-food parts of cassava (Manihot esculenta Crantz). Ambio 41:262–270.
Odjugo PAO (2008). The impact of tillage systems on soil microclimate, growth and yield of cassava (Manihot esculenta Crantz) in Midwestern Nigeria. African Journal of Agricultural Research 3:225–233.
Oguntunde PG (2005). Whole-plant water use and canopy conductance of cassava under limited available soil water and varying evaporative demand. Plant and Soil 278:371–383.
Okogbenin E, Setter TL, Ferguson M, Mutegi R, Ceballos H, Olasanmi B, Fregene M (2013). Phenotypic approaches to drought in cassava: Review. Frontiers in Plant Science 4:93.
Okpara DA, Mbah EU, Chukwu EI (2014a). Assessment of growth and yield of some high- and low-cyanide cassava genotypes in acid Ultisols of Southeastern Nigeria. African Journal of Biotechnology 13:651–656.
Okpara DA, Mbah EU, Ojikpong TO (2014b). Associate and part coefficients analysis of fresh root yield of high and low cyanide cassava (Manihot esculenta Crantz) genotypes in the humid tropics. Journal of Crop Science and Biotechnology 17:103–109.
Pardales JR, Esquibel CB (1996). Effect of drought during the establishment period on the root system development of cassava. Japan Journal of Crop Science 65:93–97.
Pask A, Pietragalla J, Mullan D, Reynolds M (2012). Physiological breeding II: A field guide to wheat phenotyping. International Maize and Wheat Improvement Center.
Peksen E (2007). Non-destructive leaf area estimation model for faba bean (Vicia faba L.). Scientia Horticulturae 113:322–328.
Peper PJ, McPherson EG (1998). Comparison of five methods for estimating leaf area index of open grown deciduous trees. Journal of Arboriculture 24:98–111.
Pereira LFM, Zanetti S, Silva MA (2018). Water relations of cassava cultivated under water-deficit levels. Acta Physiologiae Plantarum 40:13.
Pompelli MF, Antunes WC, Ferreira DTRG, Cavalcante PGS, Wanderley-Filho HCL, Endres L (2012). Allometric models for non-destructive leaf area estimation of Jatropha curcas. Biomass and Bioenergy 36:77–85.
Reynolds M, Pask A, Mullan D (2011). Physiological breeding I: Interdisciplinary approaches to improve crop adaptation. International Maize and Wheat Improvement Center.
Rouse JW, Haas RH, Schell JA, Deering DW, Harlan JC (1974). Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation. Greenbelt, MD: USA.
Sala F, Arsene GG, Iord?nescu O, Boldea M (2015). Leaf area constant model in optimizing foliar area measurement in plants: A case study in apple tree. Scientia Horticulturae 193:218–224.
Sinha SK, Nair TV (1971). Leaf area during growth and yielding capacity of cassava. The Indian Journal of Genetics and Plant Breeding 31:16–20.
Thenkabail PS, Lyon JG, Huete A (2012). Hyperspectral remote sensing of vegetation. CRC Press.
Tondjo K, Brancheriau L, Sabatier SA, Kokutse AD, Akossou A, Kokou K, Fourcaud T (2015). Non-destructive measurement of leaf area and dry biomass in Tectona grandis. Trees 29:1625–1631.
Turyagyenda LF, Kizito EB, Ferguson M, Baguma Y, Agaba M, Harvey JJW, Osiru DSO (2013). Physiological and molecular characterization of drought responses and identification of candidate tolerance genes in cassava. AoB Plants 5:plt007.
Uddling J, Gelang-Alfredsson J, Piikki K, Pleijel H (2007). Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter reading. Photosynthesis Research 91:37–46.
Vandegeer R, Miller RE, Bain M, Gleadow RM, Cavagnaro TR (2013). Drought adversely affects tuber development and nutritional quality of the staple crop cassava (Manihot esculenta Crantz). Functional Plant Biology 40:195–200.
Vichukit V, Rodjanaridpiched C, Sarobol E, Jeamjamnanja J, Siroth K, Piyachomkwan K, Leartmongkol W, Kittipadakul P, Chanthaworn J, Boonma S (2011). Huay Bong 80: Thailand’s first cassava variety registered as a new protected variety. Agricultural Science Journal 42:349–358.
Vijendra KB, Chandra S (2012). Estimating leaf area index for an arid region using spectral data. African Crop Science Journal 20:215–223.
Welles JM (1990). Some indirect methods of estimating canopy structure. Remote Sensing Reviews 5:31–43.
Wiersma JV, Bailey TB (1975). Estimation of leaflet, trifoliate and total leaf area of soybean. Agronomy Journal 67:26–30.
Xavier AC, Vettorazzi CA (2004). Mapping leaf area index through spectral vegetation indices in a subtropical watershed. International Journal of Remote Sensing 25:1661–1672
Xiao X, He L, Salas W, Li C, Moore B, Zhao R, Froloking S, Boles S (2012). Quantitative relationships between field-measured leaf area index and vegetation index derived from VEGETATION images for paddy rice fields. International Journal of Remote Sensing 23:3595–3604.
Xie Q, Huang W, Liang D, Chen P, Wu C, Yang G, Zhang J, Huang L, Zhang D (2014). Leaf area index estimation using vegetation indices derived from airborne hyperspectral images in winter wheat. IEEE Journal of Selected Topical Applied Earth Observation Remote Sensing 7:3586–3594.
Zhao P, Liu P, Shao J, Li C, Wang B, Guo X, Yan B, Xia Y, Peng M (2015). Analysis of different strategies adapted by two cassava cultivars in response to drought stress: ensuring survival or continuing growth. Journal of Experimental Botany 66:1477–1488.
Ziska LH, Runion GB, Tomecek M, Prior SA, Torbert HA, Sicher R (2009). An evaluation of cassava, sweet potato and field corn as potential carbohydrate sources for bioethanol production in Alabama and Maryland. Biomass and Bioenergy 33:1503–1508.
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