03893naa a2200361 a 450000100080000000500110000800800410001902400390006010000240009924501490012326000090027252028200028165000250310165000310312665000190315765000140317665300180319065300270320865300120323565300080324765300150325565300140327065300280328470000200331270000170333270000200334970000180336970000180338770000140340570000190341970000250343877300680346321141042019-11-08       2019    bl uuuu     u00u1 u    #d7 a10.1016/j.indcrop.2019.1117862DOI1 aCASTRO, C. A. de O.  aOptimization of Eucalyptus benthamii progeny test based on near-infrared spectroscopy approach and volumetric production.h[electronic resource]  c2019  aA progeny test of half-siblings ofEucalyptus benthamiiwas analyzed using wood quality traits combined withvolumetric information. The test was designed in completely randomized blocks design with a total of 1394 treesplanted in the city of Encruzilhada do Sul, Brazil. At six years of age, all the trees were measured and sawingsamples were collected from 87 trees, which were processed and read through the NIR. Regression models werecalibrated by the partial least squares (PLS) method to correlate the NIR spectra with wet chemical measure-ments, allowing the assembly of models to estimate values of basic density and pulp yield for all the population.From the values of basic density and pulp yield, obtained by the models, and average annual increment of wood(MAI), the average annual increment of cellulose (MAIpulp) was calculated for each individual in the test. Twotypes of optimizations were tested: balanced and unbalanced. The balanced optimization consisted of selectingfor MAIpulp, on average, 9 individuals in the 40 best families. The unbalanced optimization was performedthrough the simulation of 72 scenarios. The effect size (Ne), inbreeding rate (F), and accumulated gain werecalculated for each scenario. The selection prioritized the best families and the top ranked individuals withineach family. Results revealed that the individual heritability in the restricted sense (h²a) for density (0.331) andpulp yield (0.322) were classified as moderate magnitude. For MAIpulp, the h²a was considered high (0.514),which suggested the presence of genetic control and the possibility of obtain gains through selection. The ac-curacy for all the traits was higher than 77.3%. In addition, the NIR prediction correlation coefficient presentedvalues above 85% in PLS-OPS for basic density and pulp yield, indicating a high predictive potential of tech-nology for selection ofE. benthamiigenotypes. In the balanced scenario, 369 individuals were selected with a Neof 119 and a genetic gain of 36%. In the unbalanced scenario, the scenario 53 was selected, which demonstratedthe maintenance of 100 individuals and 36 families is necessary to obtain a Ne equal to 54 and a gain of 64.21%relative to the original population. The estimated genetic parameters indicated favorable conditions for selec-tion. The results suggested the necessity to improve the process through the use of NIR technology. For thisprocess, future research may need to adopt models specific to breeding regions and make alterations in thecalibration model for each species. The unbalanced optimization was more efficient than the balanced. Using theunbalanced procedure, researchers may be able to accomplish considerable genetic gains with less individuals inthe population while maintaining the same rate of genetic variability.  aEucalyptus benthamii  aNear-infrared spectroscopy  aPlant breeding  aEucalipto  aBasic density  aInfravermelho próximo  aMAIpulp  aNIR  aPulp yield  aSelection  aUnbalanced optimization1 aNUNES, A. C. P.1 aROQUE, J. V.1 aTEÓFILO, R. F.1 aSANTOS, O. P.1 aSANTOS, G. A.1 aGALLO, R.1 aPANTUZA, I. B.1 aRESENDE, M. D. V. de  tIndustrial Crops and Productsgv. 141, 111786, Dec. 2019. 10 p.