Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes
The largest abiotic constraint threatening banana (<i>Musa</i> spp.) production is water stress, impacting biomass buildup and yields; however, so far no studies have investigated the effects of water stress on allometric equations in banana. Weighted least square regression models were...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
|
| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/10/9/1435 |
| _version_ | 1797553024675086336 |
|---|---|
| author | Bert Stevens Jan Diels Allan Brown Stanley Bayo Patrick A. Ndakidemi Rony Swennen |
| author_facet | Bert Stevens Jan Diels Allan Brown Stanley Bayo Patrick A. Ndakidemi Rony Swennen |
| author_sort | Bert Stevens |
| collection | DOAJ |
| description | The largest abiotic constraint threatening banana (<i>Musa</i> spp.) production is water stress, impacting biomass buildup and yields; however, so far no studies have investigated the effects of water stress on allometric equations in banana. Weighted least square regression models were built for (i) estimating aboveground vegetative dry biomass (ABGVD) and corm dry biomass (cormD) and (ii) forecasting bunch fresh weight (bunchF), based on non-destructive parameters for two cultivars, Mchare Huti-Green Bell (HG, AA) and Cavendish Grande Naine (GN, AAA), under two irrigation regimes: full irrigation (FI) and rainfed (RF). FI affected growth, yield, and phenological parameters in the field (<i>p</i> < 0.05) depending on the onset of moisture stress. Pseudostem volume (V<sub>pseudo</sub>) proved a good predictor for estimating ABGVD (R<sup>2</sup><sub>adj</sub> = 0.88–0.92; RRMSE = 0.14–0.19), but suboptimal for cormD (R<sup>2</sup><sub>adj</sub> = 0.90–0.89, RRMSE = 0.21–0.26 for HG; R<sup>2</sup><sub>adj</sub> = 0.34–0.57, RRMSE = 0.38–0.43 for GN). Differences between RF and FI models (<i>p</i> < 0.05) were small as 95%CI overlapped. V<sub>pseudo</sub> at flowering predicted bunchF in FI plots correctly (R<sup>2</sup><sub>adj</sub> = 0.70 for HG, R<sup>2</sup><sub>adj</sub> = 0.43 for GN; RRMSE = 0.12–0.15 for HG and GN). Differences between FI and RF models were pronounced as 95%CI did not overlap (<i>p</i> < 0.05). Bunch allometry was affected by irrigation, proving bunchF forecasting needs to include information on moisture stress during bunch filling or information on bunch parameters. Our allometric relationships can be used for rapid and non-destructive aboveground vegetative biomass (ABGVD) assessment over time and to forecast bunch potentials based on V<sub>pseudo</sub> at flowering. |
| first_indexed | 2024-03-10T16:09:33Z |
| format | Article |
| id | doaj.art-42c57ab35fce4395abc5a1afc46ae356 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T16:09:33Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-42c57ab35fce4395abc5a1afc46ae3562023-11-20T14:33:09ZengMDPI AGAgronomy2073-43952020-09-01109143510.3390/agronomy10091435Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water RegimesBert Stevens0Jan Diels1Allan Brown2Stanley Bayo3Patrick A. Ndakidemi4Rony Swennen5Department of Biosystems, KU Leuven, Willem De Croylaan 42—Box 2455, 3001 Heverlee, BelgiumDivision of Soil and Water Management, KU Leuven, Celestijnenlaan 200e—Box 2411, 3001 Leuven, BelgiumInternational Institute of Tropical Agriculture, IITA, Arusha P.O. Box 447, TanzaniaInternational Institute of Tropical Agriculture, IITA, Arusha P.O. Box 447, TanzaniaNelson Mandela African Institution of Science and Technology, NMAIST, Arusha P.O. Box 447, TanzaniaDepartment of Biosystems, KU Leuven, Willem De Croylaan 42—Box 2455, 3001 Heverlee, BelgiumThe largest abiotic constraint threatening banana (<i>Musa</i> spp.) production is water stress, impacting biomass buildup and yields; however, so far no studies have investigated the effects of water stress on allometric equations in banana. Weighted least square regression models were built for (i) estimating aboveground vegetative dry biomass (ABGVD) and corm dry biomass (cormD) and (ii) forecasting bunch fresh weight (bunchF), based on non-destructive parameters for two cultivars, Mchare Huti-Green Bell (HG, AA) and Cavendish Grande Naine (GN, AAA), under two irrigation regimes: full irrigation (FI) and rainfed (RF). FI affected growth, yield, and phenological parameters in the field (<i>p</i> < 0.05) depending on the onset of moisture stress. Pseudostem volume (V<sub>pseudo</sub>) proved a good predictor for estimating ABGVD (R<sup>2</sup><sub>adj</sub> = 0.88–0.92; RRMSE = 0.14–0.19), but suboptimal for cormD (R<sup>2</sup><sub>adj</sub> = 0.90–0.89, RRMSE = 0.21–0.26 for HG; R<sup>2</sup><sub>adj</sub> = 0.34–0.57, RRMSE = 0.38–0.43 for GN). Differences between RF and FI models (<i>p</i> < 0.05) were small as 95%CI overlapped. V<sub>pseudo</sub> at flowering predicted bunchF in FI plots correctly (R<sup>2</sup><sub>adj</sub> = 0.70 for HG, R<sup>2</sup><sub>adj</sub> = 0.43 for GN; RRMSE = 0.12–0.15 for HG and GN). Differences between FI and RF models were pronounced as 95%CI did not overlap (<i>p</i> < 0.05). Bunch allometry was affected by irrigation, proving bunchF forecasting needs to include information on moisture stress during bunch filling or information on bunch parameters. Our allometric relationships can be used for rapid and non-destructive aboveground vegetative biomass (ABGVD) assessment over time and to forecast bunch potentials based on V<sub>pseudo</sub> at flowering.https://www.mdpi.com/2073-4395/10/9/1435allometrybiomassbunchCavendishforecastingregression |
| spellingShingle | Bert Stevens Jan Diels Allan Brown Stanley Bayo Patrick A. Ndakidemi Rony Swennen Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes Agronomy allometry biomass bunch Cavendish forecasting regression |
| title | Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes |
| title_full | Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes |
| title_fullStr | Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes |
| title_full_unstemmed | Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes |
| title_short | Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes |
| title_sort | banana biomass estimation and yield forecasting from non destructive measurements for two contrasting cultivars and water regimes |
| topic | allometry biomass bunch Cavendish forecasting regression |
| url | https://www.mdpi.com/2073-4395/10/9/1435 |
| work_keys_str_mv | AT bertstevens bananabiomassestimationandyieldforecastingfromnondestructivemeasurementsfortwocontrastingcultivarsandwaterregimes AT jandiels bananabiomassestimationandyieldforecastingfromnondestructivemeasurementsfortwocontrastingcultivarsandwaterregimes AT allanbrown bananabiomassestimationandyieldforecastingfromnondestructivemeasurementsfortwocontrastingcultivarsandwaterregimes AT stanleybayo bananabiomassestimationandyieldforecastingfromnondestructivemeasurementsfortwocontrastingcultivarsandwaterregimes AT patrickandakidemi bananabiomassestimationandyieldforecastingfromnondestructivemeasurementsfortwocontrastingcultivarsandwaterregimes AT ronyswennen bananabiomassestimationandyieldforecastingfromnondestructivemeasurementsfortwocontrastingcultivarsandwaterregimes |