Simple and accurate allometric model for leaf area estimation in Vitis vinifera L. genotypes
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| 024 | 7 | 0 | |a 10.1007/s11099-015-0117-2 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11099-015-0117-2 | ||
| 245 | 0 | 0 | |a Simple and accurate allometric model for leaf area estimation in Vitis vinifera L. genotypes |h [Elektronische Daten] |c [D. Buttaro, Y. Rouphael, C. Rivera, G. Colla, M. Gonnella] |
| 520 | 3 | |a The aim of the present experiment was to evaluate the currently used allometric models for Vitis vinifera L., as well as to develop a simple and accurate model using linear measurements [leaf length (L) and leaf width (W)], for estimating the individual leaf area (LA) of nine grapevine genotypes. For model construction, a total of 1,630 leaves coming from eight genotypes in 2010 was sampled during different leaf developmental stages and encompassed the full spectrum of leaf sizes. The model with single measurement of L could be considered an interesting option because it requires measurement of only one variable, but at the expense of accuracy. To find a model to estimate individual LA accurately for grapevine plants of all genotypes, both measurements of L and W should be involved. The proposed linear model [LA = −0.465 + 0.914 (L × W)] was adopted for its accuracy: the highest coefficient of determination (> 0.98), the smallest mean square error, the smallest prediction sum of squares, and the reasonably close prediction sum of squares value to error sum of squares. To validate the LW model, an independent data set of 200 leaves coming from another genotype in 2011 was used. Correlation coefficients showed that there was a highly reliable relationships between predicted leaf area and the observed leaf area, giving an overestimation of 0.8% in the prediction. | |
| 540 | |a The Institute of Experimental Botany, 2015 | ||
| 690 | 7 | |a estimation model |2 nationallicence | |
| 690 | 7 | |a linear regression |2 nationallicence | |
| 690 | 7 | |a nondestructive method |2 nationallicence | |
| 690 | 7 | |a GLM : general linear model |2 nationallicence | |
| 690 | 7 | |a L : leaf midvein length |2 nationallicence | |
| 690 | 7 | |a LA : individual leaf area |2 nationallicence | |
| 690 | 7 | |a LW : product leaf length and width |2 nationallicence | |
| 690 | 7 | |a L:W : length to width ratio or leaf shape |2 nationallicence | |
| 690 | 7 | |a MSE : mean square error |2 nationallicence | |
| 690 | 7 | |a MSPR : mean squared prediction error |2 nationallicence | |
| 690 | 7 | |a OLA : observed leaf area |2 nationallicence | |
| 690 | 7 | |a PLA : predicted leaf area |2 nationallicence | |
| 690 | 7 | |a PRESS : prediction sum of squares |2 nationallicence | |
| 690 | 7 | |a r 2 : coefficient of determination |2 nationallicence | |
| 690 | 7 | |a SE : standard errors |2 nationallicence | |
| 690 | 7 | |a SSE : error sum of squares |2 nationallicence | |
| 690 | 7 | |a T : tolerance values |2 nationallicence | |
| 690 | 7 | |a VIF : variance inflation factor |2 nationallicence | |
| 690 | 7 | |a W : maximum leaf width |2 nationallicence | |
| 700 | 1 | |a Buttaro |D D. |u Institute of Sciences of Food Production (CNR-ISPA), Via Amendola 122, 70126, Bari, Italy |4 aut | |
| 700 | 1 | |a Rouphael |D Y. |u Department of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055, Portici, Italy |4 aut | |
| 700 | 1 | |a Rivera |D C. |u Department of Agriculture, Forestry, Nature and Energy, University of Tuscia, Via San Camillo De Lellis snc, 01100, Viterbo, Italy |4 aut | |
| 700 | 1 | |a Colla |D G. |u Department of Agriculture, Forestry, Nature and Energy, University of Tuscia, Via San Camillo De Lellis snc, 01100, Viterbo, Italy |4 aut | |
| 700 | 1 | |a Gonnella |D M. |u Institute of Sciences of Food Production (CNR-ISPA), Via Amendola 122, 70126, Bari, Italy |4 aut | |
| 773 | 0 | |t Photosynthetica |d The Institute of Experimental Biology of the Czech Academy of Sciences |g 53/3(2015-09-01), 342-348 |x 0300-3604 |q 53:3<342 |1 2015 |2 53 |o 11099 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11099-015-0117-2 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11099-015-0117-2 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Buttaro |D D. |u Institute of Sciences of Food Production (CNR-ISPA), Via Amendola 122, 70126, Bari, Italy |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Rouphael |D Y. |u Department of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055, Portici, Italy |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Rivera |D C. |u Department of Agriculture, Forestry, Nature and Energy, University of Tuscia, Via San Camillo De Lellis snc, 01100, Viterbo, Italy |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Colla |D G. |u Department of Agriculture, Forestry, Nature and Energy, University of Tuscia, Via San Camillo De Lellis snc, 01100, Viterbo, Italy |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Gonnella |D M. |u Institute of Sciences of Food Production (CNR-ISPA), Via Amendola 122, 70126, Bari, Italy |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Photosynthetica |d The Institute of Experimental Biology of the Czech Academy of Sciences |g 53/3(2015-09-01), 342-348 |x 0300-3604 |q 53:3<342 |1 2015 |2 53 |o 11099 | ||