Conilon coffee is a highly heterozygous diploid plant that is also allogamous, producing seeds through cross-fertilisation. Due to their allogamy, plants of seminiferous origin are highly heterogeneous, exhibiting high morphological and genetic diversity. However, propagation through cutting guarantees the maximum homogeneity of fields, particularly in grain maturation, among other desirable characteristics. Currently, the majority of commercial Conilon coffee is planted using seedlings propagated by cuttings. Studying the juvenile behaviour of different clonal genotypes of the Conilon coffee plant represents an important tool to assist with the establishment of this crop. The objective of this study was to assess the growth, development and genetic diversit y in several promising genotypes of the Conilon coffee plant based on the morphological characteristics of seedlings propagated by cutting. We used seedlings Conilon coffee of 33 genotypes selected by coffee growers, and with great productive potential, and genotype 02 of the Emcapa 8111 variety. Based on morphological characteristics linked to the growth and development of the aboveground and root systems of the genotypes, their phenotypic correlations were estimated, along with the genetic diversity among genotypes, using Tocher's optimisation method and the unweighted peer group method with arithmetic mean. Genotypes A1, P2, Z39, Ouro Negro, Tardio C, Cheique, and Z29 exhibited a higher Dickson quality index (between 0.40 and 0.56). Genetic variability exists among the seedlings of the 34 genotypes of Conilon coffee studied. The most dissimilar genotypes were CHR, 18, and Z39, which remained in isolated groups in all experiments.Keywords: Coffea canephora; Genetic diversity; Variability; Vegetative propagation; Phenotypic correlation. Abbreviations: ADM_aboveground dry matter; ANA_National Water Agency; CONAB_National Food Supply Agency; DAPC_days after planting by cutting DQI_Dickson quality index; EMS_etiolation of the main stem; ICO_International Coffee Organization; LA_leaf area; LDM_leaf dry matter; LLR_length of largest root; MAPA_Brazilian Ministry of Agriculture; NIPS_number of internodes on the primary stem; NISS_number of internodes on the secondary stem; NOS_number of orthotropic shoots; NPR_number of primary roots; NPTB_number of plagiotropic branches; PSBD_primary stem base diameter; PSH_primary stem height; RDM_root dry matter; RV_root volume; SDM_stem dry matter; SLM_specific leaf mass; SSBD_secondary stem base diameter; SSH_secondary stem height; TDM_total dry matter; and UPGMA_hierarchical unweighted pair group method with arithmetic mean.

The objective of this study was to select mathematical equations that best fit the estimation of the leaf area of pink pepper (Schinus terebinthifolius Raddi) from the linear leaflet dimensions. 500 leaflets with different physiological ages of a commercial plantation were collected, located in the region of Gameleira, municipality of São Mateus, North of the State of Espírito Santo, Brazil. Was measured the length (L) along the main midrib, the largest width (W) and the observed leaf area (OLA) of each sheet. The product of the multiplication between L and W of the leaflets (LW) was determined. For the modeling the measurements of 400 leaflets were used, where OLA was used in function of L, W or LW. Based on the models found, we obtained the estimated leaf area (ELA). A simple linear regression was fitted for each proposed model of OLA in function of ELA. We tested the hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, using Student’s t test at 5% probability. The mean values of ELA and OLA were compared by Student’s t test 5% probability. It was determined the mean error (E), mean absolute error (MAE), root mean square error (RMSE) and Willmott d index. The best adjusted equation was chosen by linear coefficient (β0) not different from zero, angular coefficient (β1) not unlike one, non-significant values of ELA and OLA, E, EAM and RQME closer to zero and Willmott’s index d closer to one. In this way, the leaf area of leaflets of Schinus terebinthifolius Raddi can be estimated by the quadratic model equation ELA = -2.6646 + 2.2124W + 1.3953(W)2 , using only the width of the leaves as a measure.

Si im mp pó ós si io o d de e G Ge eo oe es st ta at tí ís st ti ic ca a A Ap pl li ic ca ad da a e em m C Ci iê ên nc ci ia as s A Ag gr rá ár ri ia as s1 14 4 e e 1 15 5 d de e M Ma ai io o d de e 2 20 01 15Resumo -A caracterização da variabilidade espacial de atributos químicos é importante para o levantamento e manejo do solo, planejamento de esquemas de amostragem e gerenciamento de práticas agrícolas. O presente trabalho teve por objetivo caracterizar a distribuição espacial dos micronutrientes do solo Cu, Fe e Mn em uma lavoura de café conilon consorciada com seringueira. O experimento foi conduzido no município de Nova Venécia, norte do Estado do Espírito Santo. Demarcou-se, com o auxílio de uma trena, uma malha quadrangular de 24 x 63 m (1.512 m 2 ) com 60 pontos. Em cada ponto amostral, foram coletadas quatro subamostras de solo na projeção da copa do cafeeiro em cada um dos pontos cardeais, formando uma amostra composta, na profundidade de 0-0,20m, para obtenção de dados referentes aos micronutrientes do solo. Todos os micronutrientes em estudo apresentaram estrutura de dependência espacial, com índice de dependência forte e moderado. O estudo da distribuição espacial dos atributos químicos do solo pela geoestatística, utilizando-se a técnica da krigagem, desponta como ferramenta imprescindível na compreensão do comportamento dos nutrientes no solo, podendo ser fundamental no auxílio à tomada de decisão que vise maior produtividade da lavoura de café conilon consorciada com seringueira. Palavras-chave: Coffea canephora; Hevea brasiliensis; geoestatística. SPATIAL DISTRIBUTION OF SOIL MICRONUTRIENTS IN A CONILON COFFEE TILLAGE INTERCROPPED WITH RUBBER TREEAbstract -The characterization of the spatial variability of chemical attributes is important to soil survey and its management, sampling schemes planning and agricultural practices management. This study aimed to characterize the spatial distribution of soil micronutrients Cu, Fe and Mn in a conilon coffee plantation intercropped with rubber tree. The experiment was conducted in Nova Venécia, northern of Espírito Santo State. Was marked, with the aid of a measuring tape, a square mesh of 24 x 63 m (1.512 m 2 ) with 60 points. At each sample point, were collected four soil subsamples in coffee tree canopy projection, in each of cardinal points, forming a composite sample, at 0-0,20m depth, to obtain soil micronutrients data. All micronutrients in study showed spatial dependence structure, with strong and moderate dependence index. The study of soil chemical attributes spatial distribution by the geostatistic, using kriging technique, is emerging as an essential tool to understand the behavior of nutrients in the soil and it can be crucial to aid decision-making, which consider higher productivity of conilon coffee tillage intercropped with rubber tree.

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